TALK AUTHOR INDEX

Shortcuts: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Ž

A
Adar, Eytan	What's Hot in Social Media
Adiga, Abhijin	Equilibria in Epidemic Containment Games
Adulyasak, Yossiri	Decentralized Stochastic Planning with Anonymity in Interactions
Aghighi, Meysam	Oversubscription Planning: Complexity and Compilability
Agmon, Noa	What's Hot in Autonomous Agents
Agmon, Noa	Can Agent Development Affect Developer's Strategy?
Agrawal, Shipra	Spectral Thompson Sampling
Aha, David	Learning Unknown Event Models
Ahmed, Hazem Radwan	Emerging: Pattern Discovery in Protein Networks Reveals High-Confidence Predictions of Novel Interactions
Ahmetaj, Shqiponja	Managing Change in Graph-structured Data Using Description Logics
Ahn, Hyung-Il	Modeling Subjective Experience-based Learning under Uncertainty and Frames
Akiba, Takuya	Fast and Accurate Influence Maximization on Large Networks with Pruned Monte-Carlo Simulations
Al-Shedivat, Maruan	Supervised Transfer Sparse Coding
Aleksandrowicz, Gadi	The Computational Complexity of Structure-Based Causality
Ali, Alnur	Active Learning with Model Selection
Alkalay-Houlihan, Colleen	False-Name Bidding and Economic Efficiency in Combinatorial Auctions
Alvin, Christopher	Synthesis of Geometry Proof Problems
Alzahrani, Majed	Supervised Transfer Sparse Coding
Amador, Sofia	Dynamic Multi-Agent Task Allocation with Spatial and Temporal Constraints
An, Bo	Game-theoretic Resource Allocation for Protecting Large Public Events Regret-based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty
Anai, Hirokazu	The Most Uncreative Examinee: A First Step toward Wide Coverage Natural Language Math Problem Solving
Anandkumar, Animashree	What's Hot in Machine Learning
Anderson, Michael	GenEth: A General Ethical Dilemma Analyzer
Anderson, Susan Leigh	GenEth: A General Ethical Dilemma Analyzer
Ansari, Hidayath	A Spatially Sensitive Kernel to Predict Cognitive Performance from Short-Term Changes in Neural Structure
Anshelevich, Elliot	Approximate Equilibrium and Incentivizing Social Coordination
Ansotegui-Gil, Carlos	MaxSAT by Improved Instance‐Specific Algorithm Configuration
Anwar, Saadat	Pathway Specification and Comparative Queries: A High Level Language with Petri Net Semantics
Apsel, Udi	Lifting Relational MAP-LPs Using Cluster Signatures
Arai, Noriko	The Most Uncreative Examinee: A First Step toward Wide Coverage Natural Language Math Problem Solving
Au, Rhoda	THink: Inferring Cognitive Status from Subtle Behaviors
Aydin, Bahadir Ismail	Emerging: Crowdsourcing for Multiple-Choice Question Answering
Azaria, Amos	Emerging: Advice Provision for Energy Saving in Automobile Climate Control Systems Leveraging Fee-Based, Imperfect Advisors in Human-Agent Games of Trust
Aziz, Haris	Fixing a Balanced Knockout Tournament A Generalization of Probabilistic Serial to Randomized Social Choice On the Incompatibility of Efficiency and Strategyproofness in Randomized Social Choice
B
Bacchus, Fahiem	Maximum Satisfiability using core-guided MaxSAT Resolution Relaxation Search: a Simple Way of Managing Optional Clauses
Bagnell, J. Andrew	Efficient Optimization for Autonomous Manipulation of Natural Objects
Bailey, James	Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View
Bain, Michael	Evaluation and Deployment of a People-to-People Recommender in Online Dating
Balafrej, Amine	Adaptive Singleton-based Consistencies
Balkanski, Eric	Simultaneous Cake Cutting
Ballard, Dana	Efficient Codes for Inverse Dynamics during Walking
Banerjee, Arindam	Online Portfolio Selection with Group Sparsity
Banerjee, Bikramjit	Strimko by Resolution
Bao, Yang	Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation
Baptista, Márcia	Accurate Household Occupant Behavior Modeling Based on Data Mining Techniques
Barabasi, Albert Laszlo	Modeling and Predicting Popularity Dynamics via Reinforced Poisson Process
Baral, Chitta	Pathway Specification and Comparative Queries: A High Level Language with Petri Net Semantics
Bareinboim, Elias	Best Paper Nominee: Recovering from Selection Bias in Causal and Statistical Inference
Barker, Ken	Challenges Beyond Factoid Question Answering
Barley, Mike	Social Planning: Achieving Goals by Altering Others' Mental States
Baron, Brian	Predictive Models for Determining If and When to Display Online Lead Forms
Barreto, Andre	Tree-Based On-line Reinforcement Learning
Baumann, Timo	Improving Domain-independent Cloud-based Speech Recognition with Domain-dependent Phonetic Post-processing
Bautsch, Brian	Emerging: A Schedule Optimization Tool for Destructive and Non-Destructive Vehicle Tests
Beame, Paul	Non-Restarting SAT Solvers With Simple Preprocessing Efficiently Simulate Resolution
Beldiceanu, Nicolas	Propagating Regular Counting Constraints
Belle, Vaishak	Computing Contingent Plans via Fully Observable Non-Deterministic Planning PREGO: An Action Language for Belief-Based Cognitive Robotics in Continuous Domains
Bellet, Aurélien	Sparse Compositional Metric Learning
Bendlin, Barbara	A Spatially Sensitive Kernel to Predict Cognitive Performance from Short-Term Changes in Neural Structure
Bengio, Yoshua	Learning Concept Embeddings for Query Expansion by Quantum Entropy Minimization On the Challenges of Physical Implementations of RBMs
Berg, Jeremias	Optimal Neighborhood Preserving Visualization by Maximum Satisfiability
Bernstein, Richard	A Computational Challenge Problem in Materials Discovery: Synthetic Problem Generator and Real-World Datasets
Bessiere, Christian	Adaptive Singleton-based Consistencies
Bezakova, Ivona	Multi-Player Games: Introducing Assignments with Open-Ended Strategies in CS2
Bhamidipati, Narayan	Non-linear Label Ranking for Large-scale Prediction of Long-Term User Interests
Bi, Wei	Multilabel Classification with Label Correlations and Missing Labels
Bian, Jiang	Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks
Bienvenu, Meghyn	Querying Inconsistent Description Logic Knowledge Bases under Preferred Repair Semantics
Bilgic, Mustafa	Anytime Active Learning
Bloembergen, Daan	Theory of Cooperation in Complex Social Networks
Blum, Avrim	Lazy Defenders Are Almost Optimal Against Diligent Attackers
Blum, James	Predicting Postoperative Atrial Fibrillation from Independent ECG Components
Bo, Liefeng	Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions
Bobrow, Daniel	Qualitative Reasoning with Modelica Models
Bogomolov, Sergiy	Planning as Model Checking in Hybrid Domains
Boguslawski, Bartosz	Huffman Coding for Storing Non-uniformly Distributed Messages in Networks of Neural Cliques
Boia, Marina	Acquiring Commonsense Knowledge for Sentiment Analysis through Human Computation
Bonet, Blai	Flexible and Scalable Partially Observable Planning with Linear Translations
Bou Ammar, Haitham	Theory of Cooperation in Complex Social Networks
Bouchard, Bruno	Emerging: A Smart Range Helping Cognitively-Impaired Persons Cooking
Bouchard, Kevin	Emerging: A Smart Range Helping Cognitively-Impaired Persons Cooking
Bouchoucha, Arbi	Compact Aspect Embedding For Diversified Query Expansion
Boularias, Abdeslam	Efficient Optimization for Autonomous Manipulation of Natural Objects
Bourgaux, Camille	Querying Inconsistent Description Logic Knowledge Bases under Preferred Repair Semantics
Boutilier, Craig	IJCAI-JAIR Best Paper Award Presentation A Game-theoretic Analysis of Catalog Optimization Robust Winners and Winner Determination Policies under Candidate Uncertainty Preference Elicitation and Interview Minimization in Stable Matchings Regret-based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty
Bouyakhf, El Houssine	Adaptive Singleton-based Consistencies
Bouzouane, Abdenour	Emerging: A Smart Range Helping Cognitively-Impaired Persons Cooking
Bowling, Michael	Using Response Functions to Measure Strategy Strength Solving Imperfect Information Games Using Decomposition
Bowring, Emma	Give a Hard Problem to a Diverse Team: Exploring Large Action Spaces
Brandl, Florian	On the Incompatibility of Efficiency and Strategyproofness in Randomized Social Choice
Brandt, Felix	Extending Tournament Solutions On the Incompatibility of Efficiency and Strategyproofness in Randomized Social Choice
Bratko, Ivan	Qualitative Planning with Quantitative Constraints for Online Learning of Robotic Behaviours
Breazeal, Cynthia	The Global Literacy Project: Technology to Power Child-Driven Learning
Bredereck, Robert	Prices Matter for the Parameterized Complexity of Shift Bribery
Brill, Markus	On the Axiomatic Characterization of Runoff Voting Rules Extending Tournament Solutions
Brodley, Carla	AAAI Welcome and Award Presentations Discovering Better AAAI Keywords via Clustering with Crowd-sourced Constraints
Brown, Laura	EAAI-14 Welcome Party Affiliation Classification from State of the Union Addresses
Brown, Matthew	Emerging: STREETS: Game-Theoretic Traffic Patrolling with Exploration and Exploitation
Brown, Noam	Regret Transfer and Parameter Optimization
Brown, Sean	Emerging: A Speech-Driven Second Screen Application for TV Program Discovery
Brys, Tim	Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence
Brânzei, Simina	Simultaneous Cake Cutting The Fisher Market Game: Equilibrium and Welfare
Bu, Jiajun	Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems Mapping Users Across Networks by Manifold Alignment on Hypergraph
Buehler, Jennifer	A Framework for Task Planning in Heterogeneous Multi Robot Systems Based on Robot Capabilities
Buntain, Cody	Leveraging Fee-Based, Imperfect Advisors in Human-Agent Games of Trust
Bunte, Kerstin	Optimal Neighborhood Preserving Visualization by Maximum Satisfiability
Burch, Neil	Using Response Functions to Measure Strategy Strength Solving Imperfect Information Games Using Decomposition
Burgard, Wolfram	Robust Visual Robot Localization Across Seasons using Network Flows
Burhans, Debra	Shallow Blue: Lego-Based Embodied AI as a Platform for Cross-Curricular Project Based Learning
Busa-Fekete, Róbert	PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences
C
Cai, Deng	Sparse Learning for Stochastic Composite Optimization
Cai, Deng	Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems Mapping Users Across Networks by Manifold Alignment on Hypergraph
Cai, Shaowei	Double Configuration Checking in Stochastic Local Search for Satisfiability Tailoring Local Search for Partial MaxSAT
Cai, Xiongcai	Evaluation and Deployment of a People-to-People Recommender in Online Dating
Calvanese, Diego	Capturing Relational Schemas and Functional Dependencies in RDFS Managing Change in Graph-structured Data Using Description Logics
Cambria, Erik	SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis
Cao, Jian	Deep Modeling of Group Preferences for Group-based Recommendation
Cao, Longbing	Deep Modeling of Group Preferences for Group-based Recommendation
Cao, Wei	Deep Modeling of Group Preferences for Group-based Recommendation
Cao, Yanan	Combining Heterogenous Social and Geographical Information for Event Recommendation
Cao, Yong	Learning Word Representation Considering Proximity and Ambiguity
Cao, Zhu	Bagging by design (on the sub-optimality of bagging)
Caragea, Cornelia	Extracting Keyphrases from Research Papers using Citation Networks CiteSeerX: AI in a Digital Library Search Engine
Caragiannis, Ioannis	Biased Games Modal Ranking: A Uniquely Robust Voting Rule
Carbonnel, Clement	Q-intersection Algorithms for Constraint-Based Robust Parameter Estimation
Carey, Cj	Manifold Spanning Graphs
Carnevale, Peter	The Importance of Cognition and Affect for Artificially Intelligent Decision Makers
Carreira-Perpinan, Miguel	LASS: A Simple Assignment Model with Laplacian Smoothing The Role of Dimensionality Reduction in Linear Classification
Caruana, Rich	Active Learning with Model Selection
Ceppi, Sofia	Mechanism Design for Mobile Geo–Location Advertising
Cetintas, Suleyman	Delivering Guaranteed Display Ads under Reach and Frequency Requirements
Cevher, Volkan	Scalable Sparse Covariance Estimation via Self-Concordance
Chabert, Gilles	Q-intersection Algorithms for Constraint-Based Robust Parameter Estimation
Chai, Joyce	Collaborative Models for Referring Expression Generation in Situated Dialogue
Chaib-Draa, Brahim	Learning the Structure of Probabilistic Graphical Models with an Extended Cascading Indian Buffet Process
Chakraborti, Tathagata	Emerging: AI-MIX: Using Automated Planning to Steer Human Workers Towards Better Crowdsourced Plans
Chakraborty, Supratik	Distribution-Aware Sampling and Weighted Model Counting for SAT
Chan, Jeffrey	Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View
Chan, Tim	Predictive Models for Determining If and When to Display Online Lead Forms
Chang, Xiaojun	A Convex Formulation for Semi-supervised Multi-Label Feature Selection
Charniak, Eugene	Identifying Differences in Physician Communication Styles with a Log-Linear Transition Component Model
Chatzis, Sotirios	Dynamic Bayesian Probabilistic Matrix Factorization Echo-State Conditional Restricted Boltzmann Machines
Chaudhri, Vinay	Large Scale Analogical Reasoning
Chee, Yeow Meng	Influence Maximization with Novelty Decay in Social Networks
Chen, Bryant	Testable Implications of Linear Structural Equation Models
Chen, Chaochao	Context-aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems
Chen, Chen	Sub-Selective Quantization for Large-Scale Image Search
Chen, Chen	Chinese Overt Pronoun Resolution: A Bilingual Approach Chinese Zero Pronoun Resolution: An Unsupervised Approach Combining Ranking and Integer Linear Programming
Chen, Chun	Mapping Users Across Networks by Manifold Alignment on Hypergraph
Chen, Dongdong	A Local Non-negative Pursuit Method for Intrinsic Manifold Structure Preservation
Chen, Enhong	Agent Behavior Prediction and Its Generalization Analysis Learning Deep Representations for Graph Clustering
Chen, Guihai	A Strategy-Proof Online Auction with Time Discounting Values
Chen, Hung-Hsuan	CiteSeerX: AI in a Digital Library Search Engine
Chen, Jianfei	Dropout Training for Support Vector Machines
Chen, Jie	GP-Localize: Persistent Mobile Robot Localization using Online Sparse Gaussian Process Observation Model
Chen, Jiehua	Prices Matter for the Parameterized Complexity of Shift Bribery
Chen, Ning	Dropout Training for Support Vector Machines
Chen, Qicong	How Do Your Friends on Social Media Disclose Your Emotions?
Chen, Qiming	Machine Translation with Real-time Web Search
Chen, Wei	Agent Behavior Prediction and Its Generalization Analysis
Chen, Wenlin	Feature-Cost Sensitive Learning with Submodular Trees of Classifiers
Chen, Xi-Lin	Uncorrelated Multi-View Discrimination Dictionary Learning for Recognition
Chen, Xuefeng	Influence Maximization with Novelty Decay in Social Networks
Chen, Yetian	Finding the k-best Equivalence Classes of Bayesian Network Structures for Model Averaging
Chen, Yiling	The Fisher Market Game: Equilibrium and Welfare
Chen, Yixin	Feature-Cost Sensitive Learning with Submodular Trees of Classifiers
Chen, Yueguo	Improving Context and Category Matching for Entity Search
Chen, Zheng	Knowledge Graph Embedding by Translating on Hyperplanes Pre-trained Multi-view Word Embedding using Two-side Neural Network
Cheng, James	Generalized Higher-Order Tensor Decomposition via Parallel ADMM
Cheng, Jian	Recommendation by Mining Multiple User Behaviors with Group Sparsity
Cheng, Xueqi	Ranking Tweets by Labeled and Collaboratively Selected Pairs with Transitive Closure
Cheung, Sam	Emerging: Robust Protection of Fisheries with COmPASS
Cheyer, Adam	Panel: From Research to Deployed Applications: Crossing the Valley of Death Siri: Back to the Future
Chia, Chih-Chun	Predicting Postoperative Atrial Fibrillation from Independent ECG Components
Cho, Yoon-Sik	Where and Why Users "Check In"
Chockler, Hana	The Computational Complexity of Structure-Based Causality
Chua, Tat-Seng	User Intent Identification from Online Discussions using a Joint Aspect-Action Topic Model
Chun, Andy Hon Wai	Deployed: Engineering Works Scheduling for Hong Kong’s Rail Network
Cimatti, Alessandro	Using Timed Game Automata to Synthesize Execution Strategies for Simple Temporal Networks with Uncertainty
Cire, Andre	Parallel Restarted Search
Civera, Javier	Grounding Acoustic Echoes In Single View Geometry Estimation
Clancey, William	Advances in Developing Physical and Cognitive Surrogates for Remote Operations—The Mars Exploration Rovers as Collaboration Tools
Classen, Jens	Exploring the Boundaries of Decidable Verification of Non-Terminating Golog Programs
Coen, Michael	A Spatially Sensitive Kernel to Predict Cognitive Performance from Short-Term Changes in Neural Structure
Collins, John	Effective Management of Electric Vehicle Storage using Smart Charging
Coltin, Brian	Scheduling for Transfers in Pickup and Delivery Problems with Very Large Neighborhood Search
Compton, Paul	Evaluation and Deployment of a People-to-People Recommender in Online Dating
Cong, Gao	Influence Maximization with Novelty Decay in Social Networks
Conitzer, Vincent	Mechanism Design for Scheduling with Uncertain Execution Time. Beat the Cheater: Computing Game-Theoretic Strategies for When to Kick a Gambler out of a Casino Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains On the Axiomatic Characterization of Runoff Voting Rules
Console, Marco	Data Quality in Ontology-based Data Access: The Case of Consistency
Corso, Jason	Latent Domains Modeling for Visual Domain Adaptation Learning Compositional Sparse Models of Bimodal Percepts
Courville, Aaron	What's Hot in Learning Representations On the Challenges of Physical Implementations of RBMs
Crookes, Danny	Deep Salience: Visual Salience Modeling via Deep Belief Propagation
Cuenca Grau, Bernardo	Pay-as-you-go OWL Query Answering Using a Triple Store Datalog Rewritability of Disjunctive Datalog Programs and its Applications to Ontology Reasoning
Cui, Bin	User Group Oriented Temporal Dynamics Exploration
Cui, Lei	Machine Translation with Real-time Web Search
Cui, Qing	Learning Deep Representations for Graph Clustering
Culotta, Aron	Anytime Active Learning
D
Da, Qing	Learning with Augmented Class by Exploiting Unlabeled Data
Dabney, William	Natural Temporal Difference Learning
Dahabreh, Issa	Identifying Differences in Physician Communication Styles with a Log-Linear Transition Component Model
Dai, Hanjun	Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks
Dalis, Melissa	Beat the Cheater: Computing Game-Theoretic Strategies for When to Kick a Gambler out of a Casino
Dallaire, Patrick	Learning the Structure of Probabilistic Graphical Models with an Extended Cascading Indian Buffet Process
Darwiche, Adnan	Knowledge Compilation
Das, Puja	Online Portfolio Selection with Group Sparsity
Daume Iii, Hal	Learning Latent Engagement Patterns of Students in Online Courses
David, Omid E.	A Generalized Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles of Complex Types
Davies, Jessica	Relaxation Search: a Simple Way of Managing Optional Clauses
Davis, Randall	THink: Inferring Cognitive Status from Subtle Behaviors
Davis, Trevor	Using Response Functions to Measure Strategy Strength
De, Sushovan	Emerging: AI-MIX: Using Automated Planning to Steer Human Workers Towards Better Crowdsourced Plans
De Giacomo, Giuseppe	Reasoning on LTL on Finite Traces: Insensitivity to Infiniteness
De Kleer, Johan	Qualitative Reasoning with Modelica Models
De Masellis, Riccardo	Reasoning on LTL on Finite Traces: Insensitivity to Infiniteness
de Melo, Celso	The Importance of Cognition and Affect for Artificially Intelligent Decision Makers
de Melo, Gerard	Acquiring Comparative Commonsense Knowledge from the Web
De Raedt, Luc	Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics
Deligkas, Argyrios	Increasing VCG Revenue by Decreasing the Quality of Items
Demirbas, Murat	Emerging: Crowdsourcing for Multiple-Choice Question Answering
Deng, Xiaotie	The Fisher Market Game: Equilibrium and Welfare
Deng, Zhi-Hong	A Joint Optimization Model for Image Summarization Based on Image Content and Tags
Denicola, Elizabeth	Emerging: Robust Protection of Fisheries with COmPASS
Der, Ricky	A Machine Learning Approach to Musically Meaningful Homogeneous Style Classification
Dhiman, Vikas	Learning Compositional Sparse Models of Bimodal Percepts
Dickerson, John	Multi-Organ Exchange: The Whole is Greater than the Sum of its Parts The Computational Rise and Fall of Fairness
Dietterich, Thomas G.	AAAI Special Awards and Honors Learning Scripts as Hidden Markov Models State Aggregation in Monte Carlo Tree Search
Dill, Kevin	Challenges in Interactive Entertainment
Ding, Chris	Pairwise-Covariance Linear Discriminant Analysis Robust Non-Negative Dictionary Learning Feature Selection at the Discrete Limit Non-convex feature learning via lp,∞ operator
Ding, Hu	Finding Median Point-Set Using Earth Mover's Distance
Ding, Ning	On Computing Optimal Strategies in Open List Proportional Representation: the Two Parties Case
Ding, Yi	Learning Relative Similarity by Stochastic Dual Coordinate Ascent
Ding, Ying	Lifetime Lexical Variation in Social Media
Ding, Zhengming	Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition
Djuric, Nemanja	Non-linear Label Ranking for Large-scale Prediction of Long-Term User Interests
Do, Minh	Parametrized Families of Hard Planning Problems from Phase Transitions
Doering, Jeffrey	Emerging: Optimizing a Start-Stop Controller Using Policy Search
Doering, Malcolm	Collaborative Models for Referring Expression Generation in Situated Dialogue
Domingos, Pedro	Approximate Lifting Techniques for Belief Propagation
Dong, Li	Adaptive Multi-Compositionality for Recursive Neural Models with Applications to Sentiment Analysis
Doppa, Janardhan Rao	HC-Search for Multi-Label Prediction: An Empirical Study Learning Scripts as Hidden Markov Models
Doran, Gary	Learning Instance Concepts from Multiple-Instance Data with Bags as Distributions
Douglas, Ben	Emerging: A Speech-Driven Second Screen Application for TV Program Discovery
Dragisic, Zlatan	Abduction Framework for Repairing Incomplete EL Ontologies: Complexity Results and Algorithms
Draief, Moez	New Models for Competitive Contagion
Drougard, Nicolas	Structured Possibilistic Planning using Decision Diagrams
Drummond, Joanna	Preference Elicitation and Interview Minimization in Stable Matchings
Du, Jianfeng	A Tractable Approach to ABox Abduction over Description Logic Ontologies
Du, Lei	Robust Multi-View Spectral Clustering via Low-Rank and Sparse Decomposition
Du, Liang	Exploiting Competition Relationship for Robust Visual Recognition
Du, Xiaoyong	Improving Context and Category Matching for Entity Search
Dughmi, Shaddin	Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains
Dumoulin, Vincent	On the Challenges of Physical Implementations of RBMs
Durfee, Ed	Multiagent Metareasoning Through Organizational Design
Duvenaud, David	Automatic Construction and Natural-Language Description of Nonparametric Regression Models
E
Eaton, Eric	Online Multi-Task Learning via Sparse Dictionary Optimization
Eiter, Thomas	Exploiting Support Sets for Answer Set Programs with External Evaluations
Elkind, Edith	On Detecting Nearly Structured Preference Profiles A Characterization of the Single-Peaked Single-Crossing Domain
Elmalech, Avshalom	Can Agent Development Affect Developer's Strategy?
Endriss, Ulle	Binary Aggregation by Selection of the Most Representative Voter
Eriksson, Brian	Large-Scale Optimistic Adaptive Submodularity
Ermon, Stefano	Designing Fast Absorbing Markov Chains
Ester, Martin	Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems
Etzioni, Oren	Diagram Understanding in Geometry Problems
F
Faghmous, James	Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field
Fahimi, Hamed	Linear-Time Filtering Algorithms for the Disjunctive Constraint
Faliszewski, Piotr	Prices Matter for the Parameterized Complexity of Shift Bribery A Characterization of the Single-Peaked Single-Crossing Domain
Faltings, Boi	Emerging: Swissnoise: Online Polls with Game-Theoretic Incentives Acquiring Commonsense Knowledge for Sentiment Analysis through Human Computation Incentives for Truthful Information Elicitation of Continuous Signals A Region-Based Model for Estimating Urban Air Pollution
Fan, Xiannian	Tightening Bounds for Bayesian Network Structure Learning
Fang, Anjie	Accurate Household Occupant Behavior Modeling Based on Data Mining Techniques
Fang, Binxing	Combining Heterogenous Social and Geographical Information for Event Recommendation
Fang, Cheng	Chance-constrained Probabilistic Simple Temporal Problems
Fang, Fei	Emerging: Robust Protection of Fisheries with COmPASS Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains
Fang, Hui	Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation
Fang, Meng	Active Learning for Crowdsourcing Using Knowledge Transfer
Fang, Rui	Collaborative Models for Referring Expression Generation in Situated Dialogue
Fang, Wenyi	Internally Stable Matchings and Exchanges
Farges, Jean-Loup	Structured Possibilistic Planning using Decision Diagrams
Fargier, Helene	A Knowledge Compilation Map for Ordered Real-Valued Decision Diagrams
Farhadi, Ali	Diagram Understanding in Geometry Problems
Featherston, Emilie	DOROTHY: Enhancing Bidirectional Communication between a 3D Programming Interface and Mobile Robots
Feldman, Alexander	Diagnosing Analogue Linear Systems Using Dynamic Topological Reconfiguration
Felner, Ariel	Exponential Deepening A* for Real-Time Agent-Centered Search
Feng, Jianlin	Knowledge Graph Embedding by Translating on Hyperplanes
Feng, Jun	Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks
Feng, Shanshan	Influence Maximization with Novelty Decay in Social Networks
Fern, Alan	Imitation Learning with Demonstrations and Shaping Rewards HC-Search for Multi-Label Prediction: An Empirical Study Coactive Learning for Locally Optimal Problem Solving State Aggregation in Monte Carlo Tree Search
Fern, Xiaoli	Learning Scripts as Hidden Markov Models
Filos-Ratsikas, Aris	The Fisher Market Game: Equilibrium and Welfare
Fink, Michael	Exploiting Support Sets for Answer Set Programs with External Evaluations
Fischl, Wolfgang	Capturing Relational Schemas and Functional Dependencies in RDFS
Fitzmaurice, George	Deploying CommunityCommands: A Software Command Recommender System Case Study
Flener, Pierre	A Propagator Design Framework for Constraints over Sequences Propagating Regular Counting Constraints
Forbus, Kenneth	Task Learning: a Challenge Problem for Integrated Intelligent Agents Using Narrative Function to Extract Qualitative Information from Natural Language Texts
Fox, Dieter	Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions
Fox, Maria	Symbolic Domain Predictive Control
Frank, Jeremy	Parametrized Families of Hard Planning Problems from Phase Transitions
Freeman, Rupert	On the Axiomatic Characterization of Runoff Voting Rules
Fremont, Daniel J.	Distribution-Aware Sampling and Weighted Model Counting for SAT
Fu, Keren	ReLISH: Reliable Label Inference via Smoothness Hypothesis Signed Laplacian Embedding for Supervised Dimension Reduction
Fu, Yun	Low-Rank Tensor Learning with Discriminant Analysis for Action Classification and Image Recovery Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition
Fujita, Etsushi	Two Case Studies for Trading Multiple Indivisible Goods with Indifferences
Fujiwara, Yasuhiro	Semantic Data Representation for Improving Tensor Factorization
Fukumizu, Kenji	Monte Carlo Filtering using Kernel Embedding of Distributions
Funke, Stefan	Best Paper Nominee: Placement of Loading Stations for Electric Vehicles: No Detours Necessary!
G
Gabillon, Victor	Large-Scale Optimistic Adaptive Submodularity
Gabrilovich, Evgeniy	Wikipedia-based Semantic Interpretation for Natural Language Processing
Galstyan, Aram	Where and Why Users "Check In"
Ganzfried, Sam	Potential-Aware Imperfect-Recall Abstraction with Earth Mover's Distance in Imperfect-Information Games
Gao, Bin	Learning Deep Representations for Graph Clustering
Gao, Jianfeng	Online Classification Using a Voted RDA Method
Gao, Jing	Emerging: Crowdsourcing for Multiple-Choice Question Answering
Gao, Lexi	Improving Context and Category Matching for Entity Search
Gao, Longwen	Towards Topological-transformation Robust Shape Comparison: A Sparse Representation Based Manifold Embedding Approach
Gao, Wei	Fast Multi-Instance Multi-Label Learning
Gao, Wen	Efficient Generalized Fused Lasso and Its Application to the Diagnosis of Alzheimer’s Disease
Gao, Xin	Supervised Transfer Sparse Coding
Gao, Xingyu	SOML: Sparse Online Metric Learning with Application to Image Retrieval
Garcin, Florent	Emerging: Swissnoise: Online Polls with Game-Theoretic Incentives
Garnet, Roman	Power Iterated Color Refinement
Gaspers, Serge	Backdoors into Heterogeneous Classes of SAT and CSP Fixing a Balanced Knockout Tournament
Gatti, Nicola	Evolutionary Dynamics of Q-Learning over the Sequence Form Mechanism Design for Mobile Geo–Location Advertising
Geffner, Hector	Flexible and Scalable Partially Observable Planning with Linear Translations
Gerding, Enrico H.	Mechanism Design for Mobile Geo–Location Advertising
Getoor, Lise	Learning Latent Engagement Patterns of Students in Online Courses
Ghahramani, Zoubin	Automatic Construction and Natural-Language Description of Nonparametric Regression Models
Giannakopoulou, Stella	A Reasoner for the RCC-5 and RCC-8 Calculi Extended with Constants
Giatsidis, Christos	CoreCluster: A Degeneracy Based Graph Clustering Framework
Giguère, Philippe	Learning the Structure of Probabilistic Graphical Models with an Extended Cascading Indian Buffet Process
Gildea, Daniel	Unsupervised Alignment of Natural Language Instructions with Video Segments
Giles, C. Lee	CiteSeerX: AI in a Digital Library Search Engine
Glasgow, Janice I.	Emerging: Pattern Discovery in Protein Networks Reveals High-Confidence Predictions of Novel Interactions
Glover, Jared	Generalizing Policy Advice with Gaussian Process Bandits for Dynamic Skill Improvement
Goasdoué, François	Querying Inconsistent Description Logic Knowledge Bases under Preferred Repair Semantics
Goel, Ashok	Confident Reasoning on Raven’s Progressive Matrices Tests
Goerigk, Marc	Solving the Traveling Tournament Problem by Packing Three-Vertex Paths
Goetschalckx, Robby	Imitation Learning with Demonstrations and Shaping Rewards Coactive Learning for Locally Optimal Problem Solving
Goldman, Claudia V.	Emerging: Advice Provision for Energy Saving in Automobile Climate Control Systems
Goldman, Jonathan	The Computational Rise and Fall of Fairness
Goldsmith, Judy	Voting with Rank Dependent Scoring Rules
Goldwasser, Dan	Learning Latent Engagement Patterns of Students in Online Courses
Gollapalli, Sujatha Das	Extracting Keyphrases from Research Papers using Citation Networks
Gomes, Carla	A Computational Challenge Problem in Materials Discovery: Synthetic Problem Generator and Real-World Datasets Designing Fast Absorbing Markov Chains
Gong, Chen	ReLISH: Reliable Label Inference via Smoothness Hypothesis Signed Laplacian Embedding for Supervised Dimension Reduction
Goodfellow, Ian J.	On the Challenges of Physical Implementations of RBMs
Grandi, Umberto	Binary Aggregation by Selection of the Most Representative Voter
Gratch, Jonathan	The Importance of Cognition and Affect for Artificially Intelligent Decision Makers
Grbovic, Mihajlo	Non-linear Label Ranking for Large-scale Prediction of Long-Term User Interests
Greenberg, Yoel	A Machine Learning Approach to Musically Meaningful Homogeneous Style Classification
Gregoire, Eric	An Experimentally Efficient Method for (MSS,CoMSS) Partitioning
Gregoire, John M.	A Computational Challenge Problem in Materials Discovery: Synthetic Problem Generator and Real-World Datasets
Gretton, Arthur	Monte Carlo Filtering using Kernel Embedding of Distributions
Grinshpoun, Tal	Congestion Games for V2G-Enabled EV Charging
Gripon, Vincent	Huffman Coding for Storing Non-uniformly Distributed Messages in Networks of Neural Cliques
Grizou, Jonathan	Calibration-Free BCI Based Control
Grohe, Martin	Power Iterated Color Refinement
Grosse, Roger	Automatic Construction and Natural-Language Description of Nonparametric Regression Models
Grossman, Tovi	Deploying CommunityCommands: A Software Command Recommender System Case Study
Gu, Zhiping	Deep Modeling of Group Preferences for Group-based Recommendation
Guan, Ziyu	Mapping Users Across Networks by Manifold Alignment on Hypergraph
Gulwani, Sumit	Synthesis of Geometry Proof Problems Programming by Example using Least General Generalizations
Gunning, David	IAAI Welcome and Awards
Gunning, David	Panel: From Research to Deployed Applications: Crossing the Valley of Death
Guo, Hua	Modeling and Mining Spatiotemporal Patterns of Infection Risk from Heterogeneous Data for Active Surveillance Planning
Guo, Li	Combining Heterogenous Social and Geographical Information for Event Recommendation
Guo, Mingyu	Increasing VCG Revenue by Decreasing the Quality of Items
Guo, Ping	Locality-constrained Low-rank Coding for Image Classification
Guo, Yuhong	Convex Co-embedding Semi-supervised Matrix Completion for Cross-Lingual Text Classification
Gönen, Mehmet	Kernelized Bayesian Transfer Learning
H
Ha, Inay	Emerging: A Unified Framework for Augmented Reality and Knowledge-Based Systems in Maintaining Aircraft
Haghtalab, Nika	Lazy Defenders Are Almost Optimal Against Diligent Attackers
Hajaj, Chen	Ordering Effects and Belief Adjustment in the Use of Comparison Shopping Agents
Hajishirzi, Hannaneh	Diagram Understanding in Geometry Problems
Halpern, Joseph Y.	The Computational Complexity of Structure-Based Causality
Han, Lei	Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework
Hannon, Padraic	Predictive Models for Determining If and When to Display Online Lead Forms
Hardy, Robert M.	Predictive Models for Determining If and When to Display Online Lead Forms
Harrenstein, Paul	Extending Tournament Solutions
Hartert, Renaud	A Support-Based Algorithm for the Bi-Objective Pareto Constraint
Hasan, Md. Kamrul	Experiments on Visual Information Extraction with the Faces of Wikipedia
Haskell, William	Emerging: Robust Protection of Fisheries with COmPASS
Hatem, Matthew	Simpler Bounded Suboptimal Search
Hazon, Noam	Ordering Effects and Belief Adjustment in the Use of Comparison Shopping Agents
He, Xiaofei	Sparse Learning for Stochastic Composite Optimization
Heap, Bradford	Minimising Undesired Task Costs in Multi-robot Task Allocation Problems with In-Schedule Dependencies
Heidari, Hoda	New Models for Competitive Contagion
Heilemann, Michael	Jim: A Platform for Affective AI in an Interdisciplinary Setting
Heinrich, Stefan	Improving Domain-independent Cloud-based Speech Recognition with Domain-dependent Phonetic Post-processing
Heitzmann, Frédéric	Huffman Coding for Storing Non-uniformly Distributed Messages in Networks of Neural Cliques
Heliotis, James	Multi-Player Games: Introducing Assignments with Open-Ended Strategies in CS2
Helmert, Malte	Best Paper Nominee: Generalized Label Reduction for Merge-and-Shrink Heuristics
Hemaspaandra, Edith	A Control Dichotomy for Pure Scoring Rules
Hemaspaandra, Lane A.	A Control Dichotomy for Pure Scoring Rules
Hen, Itay	Parametrized Families of Hard Planning Problems from Phase Transitions
Hendler, James	Semantic Data Representation for Improving Tensor Factorization
Herlands, William	A Machine Learning Approach to Musically Meaningful Homogeneous Style Classification
Hescott, Benjamin	The Complexity of Reasoning with FODD and GFODD
Heymans, Stijn	Large Scale Analogical Reasoning
Heyrani Nobari, Ghasem	User Intent Identification from Online Discussions using a Joint Aspect-Action Topic Model
Hinrichs, Thomas	Using Narrative Function to Extract Qualitative Information from Natural Language Texts
Hladik, Milan	Bounding the Support Size in Extensive Form Games with Imperfect Information
Hoi, Steven C.H.	SOML: Sparse Online Metric Learning with Application to Image Retrieval Learning Relative Similarity by Stochastic Dual Coordinate Ascent
Hojjat, Ali	Delivering Guaranteed Display Ads under Reach and Frequency Requirements
Hollingsworth, Noel	Emerging: Optimizing a Start-Stop Controller Using Policy Search
Holte, Robert	Type-Based Exploration with Multiple Search Queues for Satisficing Planning Adding Local Exploration to Greedy Best-First Search for Satisficing Planning
Honavar, Vasant	Automating Science: A Grand Challenge for AI
Hong, Fuxing	Context-aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems
Hong, Myung-Duk	Emerging: A Unified Framework for Augmented Reality and Knowledge-Based Systems in Maintaining Aircraft
Hoos, Holger	From Programs to Program Spaces: Leveraging Machine Learning and Optimisation for Automated Algorithm Design
Horrocks, Ian	Pay-as-you-go OWL Query Answering Using a Triple Store Parallel Materialisation of Datalog Programs in Centralised, Main-Memory RDF Systems
Horvitz, Eric	Signals in the Silence: Models of Implicit Feedback in a Recommender System for Crowdsourcing Stochastic Privacy
Hoshino, Richard	The Quest Draft: An Automated Course Allocation Algorithm Solving the Traveling Tournament Problem by Packing Three-Vertex Paths
Hostetler, Jesse	State Aggregation in Monte Carlo Tree Search
Hou, Ping	Solving Uncertain MDPs by Reusing State Information and Plans
Hsieh, Shao-Hang	Latent Domains Modeling for Visual Domain Adaptation
Hu, Liang	Deep Modeling of Group Preferences for Group-based Recommendation
Hu, Rui-Min	Intra-view and Inter-view Supervised Correlation Analysis for Multi-view Feature Learning Uncorrelated Multi-View Discrimination Dictionary Learning for Recognition
Hu, Ruiguang	Quality-based Learning for Web Data Classification
Hu, Weiming	Quality-based Learning for Web Data Classification
Hu, Xia	Online Social Spammer Detection
Hu, Yao	Sparse Learning for Stochastic Composite Optimization
Hu, Zhiting	User Group Oriented Temporal Dynamics Exploration
Huang, Bert	Learning Latent Engagement Patterns of Students in Online Courses
Huang, Heng	Globally and Locally Consistent Unsupervised Projection Low-Rank Tensor Completion with Spatio-Temporal Consistency A Convex Formulation for Semi-supervised Multi-Label Feature Selection
Huang, Heyan	Lifetime Lexical Variation in Social Media
Huang, Jeff	A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback
Huang, Jianhua Z.	Supervised Transfer Sparse Coding
Huang, Junzhou	Sub-Selective Quantization for Large-Scale Image Search
Huang, Sheng-Jun	Fast Multi-Instance Multi-Label Learning
Huang, Xiaowei	Symbolic Model Checking Epistemic Strategy Logic
Huellermeier, Eyke	PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences
Hunsberger, Luke	Using Timed Game Automata to Synthesize Execution Strategies for Simple Temporal Networks with Uncertainty
Huo, Ziwei	Elementary Loops Revisited
Hur, Chung-Kil	R2: An Efficient MCMC Sampler for Probabilistic Programs
Hussain, Muhammad Wajahat	Grounding Acoustic Echoes In Single View Geometry Estimation
Hutchinson, Rebecca	A Latent Variable Model for Discovering Bird Species Commonly Misidentified by Citizen Scientists
Hwang, Seung-Won	ARIA: Asymmetry Resistant Instance Alignment
I
I, Joseph	Predictive Models for Determining If and When to Display Online Lead Forms
I. Brafman, Ronen	A Relevance-Based Compilation Method for Conformant Probabilistic Planning
Imai, Tatsuya	Type-Based Exploration with Multiple Search Queues for Satisficing Planning
Iturrate, Iñaki	Calibration-Free BCI Based Control
Ivrii, Alexander	The Computational Complexity of Structure-Based Causality
Iwane, Hidenao	The Most Uncreative Examinee: A First Step toward Wide Coverage Natural Language Math Problem Solving
J
Jaillet, Patrick	Decentralized Stochastic Planning with Anonymity in Interactions
Jain, Manish	Game-theoretic Resource Allocation for Protecting Large Public Events
Jain, Shweta	A Multiarmed Bandit Incentive Mechanism for Crowdsourcing Demand Response in Smart Grids
Jalali, Vahid	Adaptation Guided Case Base Maintenance
Janssen, Bill	Qualitative Reasoning with Modelica Models
Jarrold, William	Emerging: A Speech-Driven Second Screen Application for TV Program Discovery
Jennings, Nick	Efficient Buyer Groups for Prediction-of-Use Electricity Tariffs Regret-Based Multi-Agent Coordination with Uncertain Task Rewards
Ji, Jianmin	Elementary Loops Revisited
Ji, Jianqiu	Similarity-Preserving Binary Signature for Linear Subspaces
Jia, Chengcheng	Low-Rank Tensor Learning with Discriminant Analysis for Action Classification and Image Recovery
Jia, Jia	How Do Your Friends on Social Media Disclose Your Emotions?
Jiang, Albert Xin	Give a Hard Problem to a Diverse Team: Exploring Large Action Spaces Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains
Jiang, Jing	Lifetime Lexical Variation in Social Media
Jiang, Richard	Deep Salience: Visual Salience Modeling via Deep Belief Propagation
Jiang, Yu-Gang	Predicting Emotions in User-Generated Videos
Jiang, Yuan	Partial Multi-View Clustering
Jiang, Ziheng	Locality-constrained Low-rank Coding for Image Classification
Jin, Rong	Privacy and Regression Model Preserved Learning Sparse Learning for Stochastic Composite Optimization
Jin, Ruoming	k-CoRating: Filling up Data to Obtain Privacy and Utility
Jing, Xiao-Yuan	Intra-view and Inter-view Supervised Correlation Analysis for Multi-view Feature Learning Uncorrelated Multi-View Discrimination Dictionary Learning for Recognition
Jo, Geun-Sik	Emerging: A Unified Framework for Augmented Reality and Knowledge-Based Systems in Maintaining Aircraft
Joachims, Thorsten	Challenges in Machine Learning
Johanson, Michael	Solving Imperfect Information Games Using Decomposition
Johnson, Leif	Efficient Codes for Inverse Dynamics during Walking
Johnson, Nicholas	Online Portfolio Selection with Group Sparsity
Johnson, Sterling	A Spatially Sensitive Kernel to Predict Cognitive Performance from Short-Term Changes in Neural Structure
Jonsson, Peter	Oversubscription Planning: Complexity and Compilability
Jordan, Douglas	CiteSeerX: AI in a Digital Library Search Engine
Judah, Kshitij	Imitation Learning with Demonstrations and Shaping Rewards
Jutzeler, Arnaud	A Region-Based Model for Estimating Urban Air Pollution
Järvisalo, Matti	Predicting the Hardness of Learning Bayesian Networks Optimal Neighborhood Preserving Visualization by Maximum Satisfiability
K
Kaci, Souhila	A Constructive Argumentation Framework
Kadioglu, Serdar	Parallel Restarted Search
Kaelbling, Leslie	Representation Acquisition for Task‐Level Planning Emerging: Optimizing a Start-Stop Controller Using Policy Search
Kalech, Meir	Using Model-Based Diagnosis to Improve Software Testing
Kalton, Annaka	Emerging: A Schedule Optimization Tool for Destructive and Non-Destructive Vehicle Tests
Kamar, Ece	Signals in the Silence: Models of Implicit Feedback in a Recommender System for Crowdsourcing Stochastic Privacy
Kaminski, Mark	Datalog Rewritability of Disjunctive Datalog Programs and its Applications to Ontology Reasoning
Kanagawa, Motonobu	Monte Carlo Filtering using Kernel Embedding of Distributions
Kang, Daniel	Predictive Models for Determining If and When to Display Online Lead Forms
Kang, Yong-Bin	How Long Will It Take? Accurate Prediction of Ontology Reasoning Performance
Kangas, Kustaa	Predicting the Hardness of Learning Bayesian Networks
Kaplan, Ron	The Conversational User Interface
Kapoor, Ashish	Active Learning with Model Selection
Kar, Debarun	Emerging: Robust Protection of Fisheries with COmPASS
Karam, Zahi	Predicting Postoperative Atrial Fibrillation from Independent ECG Components
Karimi Mahabadi, Rabeeh	Scalable Sparse Covariance Estimation via Self-Concordance
Karlsson, Lars	Grandpa Hates Robots - Interaction Constraints for Planning in Inhabited Environments
Karp, Jeremy	The Computational Rise and Fall of Fairness Envy-Free Division of Sellable Goods
Kaski, Samuel	Optimal Neighborhood Preserving Visualization by Maximum Satisfiability
Katsirelos, George	Relaxation Search: a Simple Way of Managing Optional Clauses
Kautz, Henry	AAAI Special Awards and Honors Unsupervised Alignment of Natural Language Instructions with Video Segments
Kavraki, Lydia	Optimal and Efficient Stochastic Motion Planning in Partially-Known Environments
Kawahara, Yoshinubo	Efficient Generalized Fused Lasso and Its Application to the Diagnosis of Alzheimer’s Disease
Kawarabayashi, Ken-Ichi	Fast and Accurate Influence Maximization on Large Networks with Pruned Monte-Carlo Simulations Solving the Traveling Tournament Problem by Packing Three-Vertex Paths
Kazachkov, Aleksandr	Envy-Free Division of Sellable Goods
Kazemi, Seyed Mehran	Elimination Ordering in Lifted First-Order Probabilistic Inference
Kearns, Michael	New Models for Competitive Contagion
Kearns, Michael	Behavioral Network Science
Kelling, Steve	Emerging: Clustering Species Accumulation Curves to Identify Skill Levels of Citizen Scientists Participating in the eBird Project
Kersting, Kristian	Power Iterated Color Refinement Lifting Relational MAP-LPs Using Cluster Signatures
Kets, Willemien	Betting Strategies, Market Selection, and the Wisdom of Crowds
Ketter, Wolfgang	Effective Management of Electric Vehicle Storage using Smart Charging
Khabsa, Madian	CiteSeerX: AI in a Digital Library Search Engine
Khambampati, Rao	Challenges in Planning Emerging: AI-MIX: Using Automated Planning to Steer Human Workers Towards Better Crowdsourced Plans Easychair as a Pedagogical Tool Engaging Graduate Students in the Reviewing Process
Khardon, Roni	The Complexity of Reasoning with FODD and GFODD
Khot, Tushar	Relational One-Class Classification: A Non-Parametric Approach
Kim, Jihie	Capturing Difficulty Expressions in Student Online Q&A Discussions
Kim, Yang Sok	Evaluation and Deployment of a People-to-People Recommender in Online Dating
Kim, Yoonheui	DJAO: A Communication‐Constrained DCOP Algorithm that Combines Features of ADOPT and Action‐GDL
Kimmig, Angelika	Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics
Klein, Mark	Scalable Complex Contract Negotiation With Structured Search and Agenda Management
Klenk, Matthew	Qualitative Reasoning with Modelica Models
Klos, Tomas	Optimal Decomposition in Linear Constraint Systems
Knoblock, Craig	From Virtual Museums to Peacebuilding: Creating and Using Linked Knowledge Panel: From Research to Deployed Applications: Crossing the Valley of Death
Kocák, Tomáš	Spectral Thompson Sampling
Koenig, Sven	Identifying Hierarchies for Fast Optimal Search A Simple Polynomial-Time Randomized Distributed Algorithm for Connected Row Convex Constraints
Koivisto, Mikko	Predicting the Hardness of Learning Bayesian Networks
Kolobov, Andrey	Saturated Path-Constrained MDP: Planning under Uncertainty and Deterministic Model-Checking Constraints
Kolter, Zico	Contextually Supervised Source Separation with Application to Energy Disaggregation
Kong, Deguang	Pairwise-Covariance Linear Discriminant Analysis Robust Non-Negative Dictionary Learning Non-convex feature learning via lp,∞ operator
Konidaris, George	Representation Acquisition for Task‐Level Planning Emerging: Optimizing a Start-Stop Controller Using Policy Search
Kopp, Stefan	A Hybrid Grammar-Based Approach for Learning and Recognizing Natural Hand Gestures
Korf, Richard	Cached Iterative Weakening for Optimal Multi-Way Number Partitioning
Korzhyk, Dmytro	Beat the Cheater: Computing Game-Theoretic Strategies for When to Kick a Gambler out of a Casino
Koubarakis, Manolis	A Reasoner for the RCC-5 and RCC-8 Calculi Extended with Constants Fast Consistency Checking of Very Large Real-World RCC-8 Constraint Networks Using Graph Partitioning
Kraus, Sarit	Emerging: Advice Provision for Energy Saving in Automobile Climate Control Systems Generating Content for Scenario-Based Serious-Games using CrowdSourcing Leveraging Fee-Based, Imperfect Advisors in Human-Agent Games of Trust
Krause, Evan	Learning to Recognize Novel Objects in One Shot through Human-Robot Interactions in Natural Language Dialogues
Krishnaswamy, Shonali	How Long Will It Take? Accurate Prediction of Ontology Reasoning Performance
Kronegger, Martin	A Parameterized Complexity Analysis of Generalized CP-Nets Backdoors to Planning
Krzywicki, Alfred	Evaluation and Deployment of a People-to-People Recommender in Online Dating
Kudenko, Daniel	Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence
Kumar, Suren	Learning Compositional Sparse Models of Bimodal Percepts
Kumar, T. K. Satish	A Simple Polynomial-Time Randomized Distributed Algorithm for Connected Row Convex Constraints
Kumar, Vipin	Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field
Kurokawa, David	Biased Games Simultaneous Cake Cutting
Kusner, Matt	Feature-Cost Sensitive Learning with Submodular Trees of Classifiers
Kveton, Branislav	Large-Scale Optimistic Adaptive Submodularity
Kwok, James	Accurate Integration of Aerosol Predictions by Smoothing on a Manifold Gradient Descent with Proximal Average for Nonconvex and Composite Regularization Multilabel Classification with Label Correlations and Missing Labels
Kyrillidis, Anastasios	Scalable Sparse Covariance Estimation via Self-Concordance
Köckemann, Uwe	Grandpa Hates Robots - Interaction Constraints for Planning in Inhabited Environments
L
Lackner, Martin	A Parameterized Complexity Analysis of Generalized CP-Nets On Detecting Nearly Structured Preference Profiles Incomplete Preferences in Single-Peaked Electorates
Lagniez, Jean Marie	Preprocessing for Propositional Model Counting An Experimentally Efficient Method for (MSS,CoMSS) Partitioning
Lahijanian, Morteza	Optimal and Efficient Stochastic Motion Planning in Partially-Known Environments
Lai, Hanjiang	Supervised Hashing for Image Retrieval via Image Representation Learning
Laird, John	Task Learning: a Challenge Problem for Integrated Intelligent Agents Learning Goal-Oriented Hierarchical Tasks from Situated Interactive Instruction
Lakemeyer, Gerhard	Exploring the Boundaries of Decidable Verification of Non-Terminating Golog Programs
Lambrix, Patrick	Abduction Framework for Repairing Incomplete EL Ontologies: Complexity Results and Algorithms
Lan, Liang	Spatial Scan for Disease Mapping on a Mobile Population
Lan, Shiwei	Wormhole Hamiltonian Monte Carlo
Lang, Jérôme	Robust Winners and Winner Determination Policies under Candidate Uncertainty Voting with Rank Dependent Scoring Rules
Langley, Pat	Themes and Progress in Computational Scientific Discovery Social Planning: Achieving Goals by Altering Others' Mental States
Latecki, Longin	Locality Preserving Projection for Domain Adaptation with Multi-Objective Learning
Lau, Hoong Chuin	Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs
Lauw, Hady	Best Paper Nominee: Manifold Learning for Jointly Modeling Topic and Visualization
Laverty, Stephen	Emerging: A Speech-Driven Second Screen Application for TV Program Discovery
Laws, Michael Barton	Identifying Differences in Physician Communication Styles with a Log-Linear Transition Component Model
Le, Matthew	Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field
Le, Tuan	Best Paper Nominee: Manifold Learning for Jointly Modeling Topic and Visualization
Le Bras, Ronan	A Computational Challenge Problem in Materials Discovery: Synthetic Problem Generator and Real-World Datasets
Leake, David	IAAI Welcome and Awards Adaptation Guided Case Base Maintenance
Lecue, Freddy	Towards Scalable Exploration of Diagnoses in an Ontology Stream
Lee, Daniel D.	An Adversarial Interpretation of Information-Theoretic Bounded Rationality
Lee, Jimmy	Boosting SBDS for Partial Symmetry Breaking in Constraint Programming
Lee, Kee-Sung	Emerging: A Unified Framework for Augmented Reality and Knowledge-Based Systems in Maintaining Aircraft
Lee, Sanghoon	ARIA: Asymmetry Resistant Instance Alignment
Lee, Victor E	k-CoRating: Filling up Data to Obtain Privacy and Utility
Lenzerini, Maurizio	Data Quality in Ontology-based Data Access: The Case of Consistency
Lesser, Victor	DJAO: A Communication‐Constrained DCOP Algorithm that Combines Features of ADOPT and Action‐GDL
Letchford, Joshua	Beat the Cheater: Computing Game-Theoretic Strategies for When to Kick a Gambler out of a Casino
Leung, Cane	Role-Aware Conformity Influence Modeling and Analysis in Social Networks
Levesque, Hector	PREGO: An Action Language for Belief-Based Cognitive Robotics in Continuous Domains
Levin, Simon	A Machine Learning Approach to Musically Meaningful Homogeneous Style Classification
Levit, Vadim	Congestion Games for V2G-Enabled EV Charging
Li, Fangtao	SUIT: A Supervised User-Item based Topic model for Sentiment Analysis Ranking Tweets by Labeled and Collaboratively Selected Pairs with Transitive Closure
Li, Haifang	Agent Behavior Prediction and Its Generalization Analysis
Li, Jason Jingshi	A Region-Based Model for Estimating Urban Air Pollution
Li, Jianmin	Similarity-Preserving Binary Signature for Linear Subspaces
Li, Jintao	SOML: Sparse Online Metric Learning with Application to Image Retrieval
Li, Juanzi	Forecasting Potential Diabetes Complications Role-Aware Conformity Influence Modeling and Analysis in Social Networks How Do Your Friends on Social Media Disclose Your Emotions? Cross-lingual Knowledge Validation Based Taxonomy Derivation from Heterogeneous Online Wikis
Li, Liangda	Learning Parametric Models for Social Infectivity in Multi-dimensional Hawkes Processes
Li, Mingyang	Cross-lingual Knowledge Validation Based Taxonomy Derivation from Heterogeneous Online Wikis
Li, Mu	Mind the Gap: Machine Translation by Minimizing the Semantic Gap in Embedding Space Machine Translation with Real-time Web Search
Li, Qi	Emerging: Crowdsourcing for Multiple-Choice Question Answering
Li, Shao-Yuan	Partial Multi-View Clustering
Li, Shuangjie	Cross-lingual Knowledge Validation Based Taxonomy Derivation from Heterogeneous Online Wikis
Li, Wei	Deploying CommunityCommands: A Software Command Recommender System Case Study
Li, Wu-Jun	Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization
Li, Xin	Fraudulent Support Telephone Number Identification Based on Co-occurrence Information on the Web
Li, Yaliang	Emerging: Crowdsourcing for Multiple-Choice Question Answering
Li, Yeqing	Sub-Selective Quantization for Large-Scale Image Search
Li, Yong	Learning Low-Rank Representations with Classwise Block-Diagonal Structure for Robust Face Recognition
Li, Yuan-Fang	How Long Will It Take? Accurate Prediction of Ontology Reasoning Performance
Li, Zechao	Learning Low-Rank Representations with Classwise Block-Diagonal Structure for Robust Face Recognition
Liang, Chao	Intra-view and Inter-view Supervised Correlation Analysis for Multi-view Feature Learning
Libon, David J.	THink: Inferring Cognitive Status from Subtle Behaviors
Liebenberg, Martin	Exploring the Boundaries of Decidable Verification of Non-Terminating Golog Programs
Lim, Ee-Peng	Lifetime Lexical Variation in Social Media
Lim, Keng Kiat	GP-Localize: Persistent Mobile Robot Localization using Online Sparse Gaussian Process Observation Model
Lima, Pedro	Point-Based POMDP Solving with Factored Value Function Approximation
Lin, Christopher	Signals in the Silence: Models of Implicit Feedback in a Recommender System for Crowdsourcing
Lin, Fangzhen	On Computing Optimal Strategies in Open List Proportional Representation: the Two Parties Case
Lin, Zhen	Context-aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems
Lin, Zhouchen	Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization
Ling, Haibin	Exploiting Competition Relationship for Robust Visual Recognition
Littman, Michael	EAAI-14 Invited Talk A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback
Liu, Cong	Supervised Hashing for Image Retrieval via Image Representation Learning
Liu, Guanfeng	Trust Prediction with Propagation and Similarity Regularization
Liu, Han	Novel Density-based Clustering Algorithms for Uncertain Data
Liu, Huan	Online Social Spammer Detection
Liu, Jiming	Modeling and Mining Spatiotemporal Patterns of Infection Risk from Heterogeneous Data for Active Surveillance Planning
Liu, Jing	Learning Low-Rank Representations with Classwise Block-Diagonal Structure for Robust Face Recognition
Liu, Junming	A Strategy-Proof Online Auction with Time Discounting Values
Liu, Lu	Forecasting Potential Diabetes Complications
Liu, Qian	Uncorrelated Multi-View Discrimination Dictionary Learning for Recognition
Liu, Qiguang	Unsupervised Alignment of Natural Language Instructions with Video Segments
Liu, Qun	Joint Morphological Generation and Syntactic Linearization
Liu, Shenghua	SUIT: A Supervised User-Item based Topic model for Sentiment Analysis Ranking Tweets by Labeled and Collaboratively Selected Pairs with Transitive Closure
Liu, Shujie	Mind the Gap: Machine Translation by Minimizing the Semantic Gap in Embedding Space
Liu, Siyuan	Robust Bayesian Inverse Reinforcement Learning with Sparse Behavior Noise
Liu, Tie-Yan	Incentivizing High-Quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium Agent Behavior Prediction and Its Generalization Analysis Learning Deep Representations for Graph Clustering Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks
Liu, Wei	Sub-Selective Quantization for Large-Scale Image Search
Liu, Xiaohua	Compact Aspect Embedding For Diversified Query Expansion
Liu, Xiaoming	On Hair Recognition in the Wild by Machine
Liu, Xinwang	Sample-Adaptive Multiple Kernel Learning
Liu, Xinyue	Novel Density-based Clustering Algorithms for Uncertain Data
Liu, Yicheng	Internally Stable Matchings and Exchanges
Liu, Yiqun	Fraudulent Support Telephone Number Identification Based on Co-occurrence Information on the Web
Liu, Yuanyuan	Generalized Higher-Order Tensor Decomposition via Parallel ADMM
Lizi, Liao	Lifetime Lexical Variation in Social Media
Lloyd, James	Automatic Construction and Natural-Language Description of Nonparametric Regression Models
Loftin, Robert	A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback
Lopes, Manuel	Calibration-Free BCI Based Control
Low, Bryan Kian Hsiang	GP-Localize: Persistent Mobile Robot Localization using Online Sparse Gaussian Process Observation Model
Lozano-Perez, Tomas	Representation Acquisition for Task‐Level Planning
Lu, Canyi	Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization
Lu, Hanqing	Learning Low-Rank Representations with Classwise Block-Diagonal Structure for Robust Face Recognition Recommendation by Mining Multiple User Behaviors with Group Sparsity
Lu, Hongtao	Locality Preserving Hashing
Lu, Zhiwu	Direct Semantic Analysis for Social Image Classification
Lu, Zhongqi	Source Free Transfer Learning for Text Classification
Lucier, Brendan	Online (Budgeted) Social Choice
Ludwig, Jeremy	Emerging: A Schedule Optimization Tool for Destructive and Non-Destructive Vehicle Tests
Luna, Ryan	Optimal and Efficient Stochastic Motion Planning in Partially-Known Environments
Luo, Bin	Robust Non-Negative Dictionary Learning
Luo, Chuan	Double Configuration Checking in Stochastic Local Search for Satisfiability Tailoring Local Search for Partial MaxSAT
Luo, Jiebo	Unsupervised Alignment of Natural Language Instructions with Video Segments
Luo, Yong	Pre-trained Multi-view Word Embedding using Two-side Neural Network
Lutati, Benny	Congestion Games for V2G-Enabled EV Charging
Luyten, Walter	Forecasting Potential Diabetes Complications
Lv, Jian Cheng	A Local Non-negative Pursuit Method for Intrinsic Manifold Structure Preservation
Löhr, Johannes	Symbolic Domain Predictive Control
M
Ma, Chao	HC-Search for Multi-Label Prediction: An Empirical Study
Ma, Shaoping	Fraudulent Support Telephone Number Identification Based on Co-occurrence Information on the Web
Ma, Shiqian	Doubly Regularized Portfolio with Risk Minimization
Ma, Songde	Learning Low-Rank Representations with Classwise Block-Diagonal Structure for Robust Face Recognition
Ma, Tianyang	Locality Preserving Projection for Domain Adaptation with Multi-Objective Learning
Ma, Yi	Hybrid Singular Value Thresholding for Tensor Completion
Macasaet, Carlos	Predictive Models for Determining If and When to Display Online Lead Forms
MacGlashan, James	A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback
Mackenzie, Simon	Fixing a Balanced Knockout Tournament
Magazzeni, Daniele	Planning as Model Checking in Hybrid Domains
Mahadevan, Sridhar	Manifold Spanning Graphs
Mahidadia, Ashesh	Evaluation and Deployment of a People-to-People Recommender in Online Dating
Majumdar, Rupak	Synthesis of Geometry Proof Problems
Malbasa, Vuk	Spatial Scan for Disease Mapping on a Mobile Population
Malitsky, Yuri	MaxSAT by Improved Instance‐Specific Algorithm Configuration
Malliaros, Fragkiskos	CoreCluster: A Degeneracy Based Graph Clustering Framework
Malone, Brandon	Predicting the Hardness of Learning Bayesian Networks Tightening Bounds for Bayesian Network Structure Learning
Manikonda, Lydia	Emerging: AI-MIX: Using Automated Planning to Steer Human Workers Towards Better Crowdsourced Plans
Mao, Xue	Quality-based Learning for Web Data Classification
Margolin, Adam A.	Kernelized Bayesian Transfer Learning
Markakis, Evangelos	Item Bidding for Combinatorial Public Projects
Markovitch, Shaul	Wikipedia-based Semantic Interpretation for Natural Language Processing
Markusic, Craig	Emerging: A Schedule Optimization Tool for Destructive and Non-Destructive Vehicle Tests
Marquis, Pierre	A Knowledge Compilation Map for Ordered Real-Valued Decision Diagrams Preprocessing for Propositional Model Counting
Marsa Maestre, Ivan	Scalable Complex Contract Negotiation With Structured Search and Agenda Management
Marsic, Ivan	Improving Semi-Supervised Target Alignment via Label-Aware Base Kernels
Martin, Lionel	Prediction of Helpful Reviews using Emotions Extraction
Matejka, Justin	Deploying CommunityCommands: A Software Command Recommender System Case Study
Matsuzaki, Takuya	The Most Uncreative Examinee: A First Step toward Wide Coverage Natural Language Math Problem Solving
Mattei, Nicholas	Fixing a Balanced Knockout Tournament Voting with Rank Dependent Scoring Rules
Matuszek, Cynthia	Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions
Mazure, Bertrand	An Experimentally Efficient Method for (MSS,CoMSS) Partitioning
McCloskey, Scott	Latent Domains Modeling for Visual Domain Adaptation
McFate, Clifton	Using Narrative Function to Extract Qualitative Information from Natural Language Texts
McGee, Ryan	Emerging: Optimizing a Start-Stop Controller Using Policy Search
McGreggor, Keith	Confident Reasoning on Raven’s Progressive Matrices Tests
McIlraith, Sheila	Cost-Based Query Optimization via AI Planning Computing Contingent Plans via Fully Observable Non-Deterministic Planning
Meadows, Ben	Social Planning: Achieving Goals by Altering Others' Mental States
Meel, Kuldeep S.	Distribution-Aware Sampling and Weighted Model Counting for SAT
Mei, Jincheng	Locality Preserving Hashing
Meisels, Amnon	Congestion Games for V2G-Enabled EV Charging
Mendel, Jeremy	Emerging: A Speech-Driven Second Screen Application for TV Program Discovery
Meyer, Jason	Emerging: Optimizing a Start-Stop Controller Using Policy Search
Miao, Chunyan	Learning Relative Similarity by Stochastic Dual Coordinate Ascent
Micheli, Andrea	Using Timed Game Automata to Synthesize Execution Strategies for Simple Temporal Networks with Uncertainty
Milic-Frayling, Natasa	Programming by Example using Least General Generalizations
Minton, Steve	Panel: From Research to Deployed Applications: Crossing the Valley of Death
Mirzazadeh, Farzaneh	Convex Co-embedding
Misra, Neeldhara	Backdoors into Heterogeneous Classes of SAT and CSP
Mladenov, Martin	Power Iterated Color Refinement
Mladenov, Martin	Lifting Relational MAP-LPs Using Cluster Signatures
Mnih, Volodymyr	What's Hot in Reinforcement Learning
Moens, Marie-Francine	Forecasting Potential Diabetes Complications
Mohan, Shiwali	Learning Goal-Oriented Hierarchical Tasks from Situated Interactive Instruction
Molineaux, Matthew	Learning Unknown Event Models
Moll, Mark	Optimal and Efficient Stochastic Motion Planning in Partially-Known Environments
Monette, Jean-Noël	A Propagator Design Framework for Constraints over Sequences
Montali, Marco	Reasoning on LTL on Finite Traces: Insensitivity to Infiniteness
Montano, Luis	Grounding Acoustic Echoes In Single View Geometry Estimation
Montesano, Luis	Calibration-Free BCI Based Control
Moran, Kelly	Discovering Better AAAI Keywords via Clustering with Crowd-sourced Constraints
Moravcik, Matej	Bounding the Support Size in Extensive Form Games with Imperfect Information
Morimura, Tetsuro	Mixing-time Regularized Policy Gradient
Motik, Boris	Parallel Materialisation of Datalog Programs in Centralised, Main-Memory RDF Systems
Mrowczynski, Jon	Jim: A Platform for Affective AI in an Interdisciplinary Setting
Mueller, Martin	Type-Based Exploration with Multiple Search Queues for Satisficing Planning Adding Local Exploration to Greedy Best-First Search for Satisficing Planning
Mueller, Vincent C.	Challenges in Cognitive Science
Muggleton, Stephen	Program Induction in the Real World
Muise, Christian	Computing Contingent Plans via Fully Observable Non-Deterministic Planning
Mukhopadhyay, Supratik	Synthesis of Geometry Proof Problems
Munos, Remi	Spectral Thompson Sampling
Musat, Claudiu Cristian	Acquiring Commonsense Knowledge for Sentiment Analysis through Human Computation
Muthukrishnan, S.	Large-Scale Optimistic Adaptive Submodularity
Myllymäki, Petri	Predicting the Hardness of Learning Bayesian Networks Optimal Neighborhood Preserving Visualization by Maximum Satisfiability
N
Nagata, Masaaki	Fused Feature Representation Discovery for High-dimensional and Sparse Data
Naim, Iftekhar	Unsupervised Alignment of Natural Language Instructions with Video Segments
Nakagawa, Hiroshi	Online and Stochastic Learning with a Human Cognitive Bias
Nakatsuji, Makoto	Semantic Data Representation for Improving Tensor Factorization
Narahari, Yadati	A Multiarmed Bandit Incentive Mechanism for Crowdsourcing Demand Response in Smart Grids
Narayanaswamy, Balakrishnan	A Multiarmed Bandit Incentive Mechanism for Crowdsourcing Demand Response in Smart Grids
Narodytska, Nina	A Game-theoretic Analysis of Catalog Optimization Maximum Satisfiability using core-guided MaxSAT Resolution
Naseer, Tayyab	Robust Visual Robot Localization Across Seasons using Network Flows
Natarajan, Sriraam	Relational One-Class Classification: A Non-Parametric Approach
Nath, Aniruddh	Approximate Lifting Techniques for Belief Propagation
Nebel, Bernhard	Symbolic Domain Predictive Control
Nejat, Goldie	Schedule-based Robotic Search for Multiple Residents in a Retirement Home Environment
Neller, Todd	EAAI-14 Welcome An Introduction to Monte Carlo Techniques in AI— Part I
Nenkova, Ani	Detecting Information-Dense Texts in Multiple News Domains
Nenov, Yavor	Pay-as-you-go OWL Query Answering Using a Triple Store Parallel Materialisation of Datalog Programs in Centralised, Main-Memory RDF Systems Datalog Rewritability of Disjunctive Datalog Programs and its Applications to Ontology Reasoning
Netanyahu, Nathan S.	A Generalized Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles of Complex Types
Neumann, Ulrich	Emerging: A Unified Framework for Augmented Reality and Knowledge-Based Systems in Maintaining Aircraft
Ng, Vincent	Chinese Overt Pronoun Resolution: A Bilingual Approach Chinese Zero Pronoun Resolution: An Unsupervised Approach Combining Ranking and Integer Linear Programming
Nguyen, Cam-Tu	Labeling Complicated Objects: Multi-View Multi-Instance Multi-Label Learning
Nguyen, Duc Thien	A Simple Polynomial-Time Randomized Distributed Algorithm for Connected Row Convex Constraints Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs
Nguyen, Hung	Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field
Nguyen, Thanh	Regret-based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty
Nguyen, Vinh	Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View
Ni, Lionel	Robust Bayesian Inverse Reinforcement Learning with Sparse Behavior Noise
Nichterlein, André	Prices Matter for the Parameterized Complexity of Shift Bribery
Nie, Feiping	Globally and Locally Consistent Unsupervised Projection Low-Rank Tensor Completion with Spatio-Temporal Consistency A Convex Formulation for Semi-supervised Multi-Label Feature Selection
Nie, Jian-Yun	Learning Concept Embeddings for Query Expansion by Quantum Entropy Minimization Compact Aspect Embedding For Diversified Query Expansion
Nie, Zaiqing	Learning Word Representation Considering Proximity and Ambiguity
Niedermeier, Rolf	Prices Matter for the Parameterized Complexity of Shift Bribery
Niepert, Mathias	Best Paper Nominee: Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference
Nikolaou, Charalampos	A Reasoner for the RCC-5 and RCC-8 Calculi Extended with Constants Fast Consistency Checking of Very Large Real-World RCC-8 Constraint Networks Using Graph Partitioning
Nishiyama, Yu	Monte Carlo Filtering using Kernel Embedding of Distributions
Niveau, Alexandre	A Knowledge Compilation Map for Ordered Real-Valued Decision Diagrams
Nori, Aditya	R2: An Efficient MCMC Sampler for Probabilistic Programs
Nowé, Ann	Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence
Nusser, André	Best Paper Nominee: Placement of Loading Stations for Electric Vehicles: No Detours Necessary!
O
O'Neill, Brian	Dramatis: A Computational Model of Suspense
Oh, Kyeong-Jin	Emerging: A Unified Framework for Augmented Reality and Knowledge-Based Systems in Maintaining Aircraft
Ohsaka, Naoto	Fast and Accurate Influence Maximization on Large Networks with Pruned Monte-Carlo Simulations
Oiwa, Hidekazu	Online and Stochastic Learning with a Human Cognitive Bias
Okamoto, Steven	Dynamic Multi-Agent Task Allocation with Spatial and Temporal Constraints
Olsher, Daniel	SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis
Olteanu, Dan	Parallel Materialisation of Datalog Programs in Centralised, Main-Memory RDF Systems
Ordyniak, Sebastian	Backdoors into Heterogeneous Classes of SAT and CSP Backdoors to Planning
Oren, Joel	A Game-theoretic Analysis of Catalog Optimization Robust Winners and Winner Determination Policies under Candidate Uncertainty Online (Budgeted) Social Choice
Orgun, Mehmet	Trust Prediction with Propagation and Similarity Regularization
Ororbia, Alexander	CiteSeerX: AI in a Digital Library Search Engine
Orr, Walker	Learning Scripts as Hidden Markov Models
Ortega, Pedro A.	An Adversarial Interpretation of Information-Theoretic Bounded Rationality
Ortiz, Magdalena	Managing Change in Graph-structured Data Using Description Logics
Osogami, Takayuki	Mixing-time Regularized Policy Gradient
Othman, Abraham	Supervised Scoring with Monotone Multidimensional Splines
Oudeyer, Pierre-Yves	Calibration-Free BCI Based Control
Overholtzer, Adam	Large Scale Analogical Reasoning
Ozgul, Etkin	GP-Localize: Persistent Mobile Robot Localization using Online Sparse Gaussian Process Observation Model
P
Pachet, François	Avoiding Plagiarism in Markov Sequence Generation
Pagnucco, Maurice	A Framework for Task Planning in Heterogeneous Multi Robot Systems Based on Robot Capabilities Minimising Undesired Task Costs in Multi-robot Task Allocation Problems with In-Schedule Dependencies
Pal, Christopher	Experiments on Visual Information Extraction with the Faces of Wikipedia
Palacios, Hector	Robust Winners and Winner Determination Policies under Candidate Uncertainty
Pan, Jeff Z.	How Long Will It Take? Accurate Prediction of Ontology Reasoning Performance
Pan, Qihe	Robust Non-Negative Dictionary Learning
Pan, Sinno Jialin	Hybrid Heterogeneous Transfer Learning through Deep Learning Source Free Transfer Learning for Text Classification
Pan, Yan	Supervised Hashing for Image Retrieval via Image Representation Learning Robust Multi-View Spectral Clustering via Low-Rank and Sparse Decomposition
Panozzo, Fabio	Evolutionary Dynamics of Q-Learning over the Sequence Form
Papadopoulos, Alexandre	Avoiding Plagiarism in Markov Sequence Generation
Papakonstantinou, Periklis	Bagging by design (on the sub-optimality of bagging)
Patel-Schneider, Peter F.	Emerging: A Speech-Driven Second Screen Application for TV Program Discovery
Paterson, James	A Scheduler for Actions with Iterated Durations
Pazzani, Michael J.	Syskill & Webert: Identifying Interesting Web Sites
Pearce, Chris	Social Planning: Achieving Goals by Altering Others' Mental States
Pearl, Judea	Best Paper Nominee: Recovering from Selection Bias in Causal and Statistical Inference Testable Implications of Linear Structural Equation Models
Pearson, Justin	A Propagator Design Framework for Constraints over Sequences Propagating Regular Counting Constraints
Pecora, Federico	Grandpa Hates Robots - Interaction Constraints for Planning in Inhabited Environments
Peltonen, Jaakko	Optimal Neighborhood Preserving Visualization by Maximum Satisfiability
Peng, Bei	A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback
Peng, Lihong	Locality-constrained Low-rank Coding for Image Classification
Peng, Yuxin	Semantic Graph Construction for Weakly-Supervised Image Parsing Cross-View Feature Learning for Scalable Social Image Analysis
Penney, Dana L	THink: Inferring Cognitive Status from Subtle Behaviors
Pennock, David	Betting Strategies, Market Selection, and the Wisdom of Crowds
Perny, Patrice	Voting with Rank Dependent Scoring Rules
Pfahringer, Bernhard	Senior Member: Tackling Real World Data Streams: a Call to Arms
Pfandler, Andreas	A Parameterized Complexity Analysis of Generalized CP-Nets Backdoors to Planning
Philipose, Matthai	Efficient Object Detection via Adaptive Online Selection of Sensor-Array Elements
Picard, Rosalind	Modeling Subjective Experience-based Learning under Uncertainty and Frames
Pichler, Reinhard	A Parameterized Complexity Analysis of Generalized CP-Nets Capturing Relational Schemas and Functional Dependencies in RDFS
Piro, Robert	Parallel Materialisation of Datalog Programs in Centralised, Main-Memory RDF Systems
Pitman, David	THink: Inferring Cognitive Status from Subtle Behaviors
Podelski, Andreas	Planning as Model Checking in Hybrid Domains
Poole, David	Elimination Ordering in Lifted First-Order Probabilistic Inference
Porras, Rigel	Predictive Models for Determining If and When to Display Online Lead Forms
Prada, Rui	Accurate Household Occupant Behavior Modeling Based on Data Mining Techniques
Prendinger, Helmut	Accurate Household Occupant Behavior Modeling Based on Data Mining Techniques
Procaccia, Ariel	Lazy Defenders Are Almost Optimal Against Diligent Attackers The Computational Rise and Fall of Fairness Biased Games Simultaneous Cake Cutting Modal Ranking: A Uniquely Robust Voting Rule Envy-Free Division of Sellable Goods On the Structure of Synergies in Cooperative Games
Provan, Gregory	Diagnosing Analogue Linear Systems Using Dynamic Topological Reconfiguration
Pu, Pearl	Decomposing Activities of Daily Living to Discover Routine Clusters Prediction of Helpful Reviews using Emotions Extraction
Q
Qazi, Karim	Predictive Models for Determining If and When to Display Online Lead Forms
Qi, Guilin	Contraction and Revision over DL-Lite TBoxes
Qian, Hui	Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms
Qiao, Zhi	Combining Heterogenous Social and Geographical Information for Event Recommendation
Qin, Tao	Incentivizing High-Quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium Agent Behavior Prediction and Its Generalization Analysis
Qin, Xuzhen	Mapping Users Across Networks by Manifold Alignment on Hypergraph
Qiu, Lin	Learning Word Representation Considering Proximity and Ambiguity
Qiu, Shuang	Recommendation by Mining Multiple User Behaviors with Group Sparsity
Quimper, Claude-Guy	Linear-Time Filtering Algorithms for the Disjunctive Constraint
R
Radanovic, Goran	Incentives for Truthful Information Elicitation of Continuous Signals
Radosavljevic, Vladan	Non-linear Label Ranking for Large-scale Prediction of Long-Term User Interests
Raible-Clark, Caleb	The Quest Draft: An Automated Course Allocation Algorithm
Rajagopal, Dheeraj	SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis
Rajamani, Sriram	R2: An Efficient MCMC Sampler for Probabilistic Programs
Ramesh, Arti	Learning Latent Engagement Patterns of Students in Online Courses
Ramirez-Loaiza, Maria E.	Anytime Active Learning
Ranjbar-Sahraei, Bijan	Theory of Cooperation in Complex Social Networks
Ratnaparkhi, Adwait	Emerging: A Speech-Driven Second Screen Application for TV Program Discovery
Ray, Soumya	Learning Instance Concepts from Multiple-Instance Data with Bags as Distributions
Raza, Mohammad	Programming by Example using Least General Generalizations
Redl, Christoph	Exploiting Support Sets for Answer Set Programs with External Evaluations
Regan, Amelia	Online Classification Using a Voted RDA Method
Renkens, Joris	Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics
Restelli, Marcello	Evolutionary Dynamics of Q-Learning over the Sequence Form
Reyzin, Lev	On Boosting Sparse Parities
Richards, Robert	Emerging: A Schedule Optimization Tool for Destructive and Non-Destructive Vehicle Tests
Riedl, Mark	Automatic Game Design via Mechanic Generation Dramatis: A Computational Model of Suspense
Rieffel, Eleanor	Parametrized Families of Hard Planning Problems from Phase Transitions
Roberts, David	A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback
Robinson, Nathan	Cost-Based Query Optimization via AI Planning
Robu, Valentin	Efficient Buyer Groups for Prediction-of-Use Electricity Tariffs
Rocco, Marco	Mechanism Design for Mobile Geo–Location Advertising
Rogers, Alex	Efficient Buyer Groups for Prediction-of-Use Electricity Tariffs
Romero, Javier	Solving the Inferential Frame Problem in the General Game Description Language
Rosenfeld, Avi	Generating Content for Scenario-Based Serious-Games using CrowdSourcing
Rossi, Francesca	Senior Member: Computational Social Choice
Roth, Dan	On Dataless Hierarchical Text Classification
Roth, Joseph	On Hair Recognition in the Wild by Machine
Roveri, Marco	Using Timed Game Automata to Synthesize Execution Strategies for Simple Temporal Networks with Uncertainty
Roy, Pierre	Avoiding Plagiarism in Markov Sequence Generation
Ruan, Lingyun	Adaptive Knowledge Transfer for Multiple Instance Learning in Image Classification
Rubinfeld, Ilan	Evaluating Trauma Patients: Addressing Missing Covariates with Joint Optimization
Rui, Yong	Sketch Recognition with Natural Correction and Editing Learning Word Representation Considering Proximity and Ambiguity
Ruiz, Carlos	Predictive Models for Determining If and When to Display Online Lead Forms
Ruml, Wheeler	Simpler Bounded Suboptimal Search
Ruvolo, Paul	Online Multi-Task Learning via Sparse Dictionary Optimization
Ryan, Malcolm	Efficiently Implementing GOLOG with Answer Set Programming
S
Sabharwal, Ashish	Designing Fast Absorbing Markov Chains Non-Restarting SAT Solvers With Simple Preprocessing Efficiently Simulate Resolution
Sadeghipour, Amir	A Hybrid Grammar-Based Approach for Learning and Recognizing Natural Hand Gestures
Saffidine, Abdallah	Solving the Inferential Frame Problem in the General Game Description Language
Sager, Mark	A Spatially Sensitive Kernel to Predict Cognitive Performance from Short-Term Changes in Neural Structure
Saha, Sudip	Equilibria in Epidemic Containment Games
Saisubramanian, Sandhya	Emerging: STREETS: Game-Theoretic Traffic Patrolling with Exploration and Exploitation
Salhi, Yakoub	A Constructive Argumentation Framework
Sallinger, Emanuel	Capturing Relational Schemas and Functional Dependencies in RDFS
Sammut, Claude	Qualitative Planning with Quantitative Constraints for Online Learning of Robotic Behaviours
Samuel, Selva	R2: An Efficient MCMC Sampler for Probabilistic Programs
Sandholm, Tuomas	Regret Transfer and Parameter Optimization Multi-Organ Exchange: The Whole is Greater than the Sum of its Parts The Computational Rise and Fall of Fairness Potential-Aware Imperfect-Recall Abstraction with Earth Mover's Distance in Imperfect-Information Games
Sarne, David	Can Agent Development Affect Developer's Strategy? Ordering Effects and Belief Adjustment in the Use of Comparison Shopping Agents
Savani, Rahul	Increasing VCG Revenue by Decreasing the Quality of Items
Sawada, Hiroshi	Semantic Data Representation for Improving Tensor Factorization
Sawangphol, Wudhichart	How Long Will It Take? Accurate Prediction of Ontology Reasoning Performance
Saxena, Ashutosh	What's Hot in Robotics
Schaeffer, Jonathan	Worst-Case Solution Quality Analysis When Not Re-Expanding Nodes in Best-First Search
Schaus, Pierre	A Support-Based Algorithm for the Bi-Objective Pareto Constraint
Scheutz, Mathias	What's Hot in Cognitive Science Learning to Recognize Novel Objects in One Shot through Human-Robot Interactions in Natural Language Dialogues
Schmid, Martin	Bounding the Support Size in Extensive Form Games with Imperfect Information
Schmidt, Nicolas	A Knowledge Compilation Map for Ordered Real-Valued Decision Diagrams
Schnoor, Henning	A Control Dichotomy for Pure Scoring Rules
Schreiber, Ethan	Cached Iterative Weakening for Optimal Multi-Way Number Partitioning
Schumacher, J.	Emerging: A Schedule Optimization Tool for Destructive and Non-Destructive Vehicle Tests
Schuurmans, Dale	Convex Co-embedding
Schwenk, Markus	Schedule-based Robotic Search for Multiple Residents in a Retirement Home Environment
Seguin, Fabrice	Huffman Coding for Storing Non-uniformly Distributed Messages in Networks of Neural Cliques
Sekar, Shreyas	Approximate Equilibrium and Incentivizing Social Coordination
Sekimoto, Yoshihide	Intelligent System for Urban Emergency Management During Large-scale Disaster
Selkowitz, Robert	Shallow Blue: Lego-Based Embodied AI as a Platform for Cross-Curricular Project Based Learning Jim: A Platform for Affective AI in an Interdisciplinary Setting
Sellmann, Meinolf	Parallel Restarted Search MaxSAT by Improved Instance‐Specific Algorithm Configuration
Selman, Bart	A Computational Challenge Problem in Materials Discovery: Synthetic Problem Generator and Real-World Datasets Designing Fast Absorbing Markov Chains
Seo, Min Joon	Diagram Understanding in Geometry Problems
Seshia, Sanjit A.	Distribution-Aware Sampling and Weighted Model Counting for SAT
Sethi, Rajiv	Betting Strategies, Market Selection, and the Wisdom of Crowds
Sha, Fei	Sparse Compositional Metric Learning
Shah, Nisarg	Betting Strategies, Market Selection, and the Wisdom of Crowds Modal Ranking: A Uniquely Robust Voting Rule On the Structure of Synergies in Cooperative Games
Shahbaba, Babak	Wormhole Hamiltonian Monte Carlo
Shang, Fanhua	Generalized Higher-Order Tensor Decomposition via Parallel ADMM
Shao, Ming	Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition
Sharon, Guni	Exponential Deepening A* for Real-Time Agent-Centered Search
Shavlik, Jude	Relational One-Class Classification: A Non-Parametric Approach
Sheldon, Daniel	Rounded Dynamic Programming for Tree-Structured Stochastic Network Design
Shen, Huawei	Modeling and Predicting Popularity Dynamics via Reinforced Poisson Process
Shen, Weiwei	Doubly Regularized Portfolio with Risk Minimization
Shen, Yi-Dong	A Tractable Approach to ABox Abduction over Description Logic Ontologies
Shi, Benyun	Modeling and Mining Spatiotemporal Patterns of Infection Risk from Heterogeneous Data for Active Surveillance Planning
Shi, Shuming	Improving Context and Category Matching for Entity Search
Shi, Yuan	Sparse Compositional Metric Learning
Shibasaki, Ryosuke	Intelligent System for Urban Emergency Management During Large-scale Disaster
Shirai, Tomoyuki	Mixing-time Regularized Policy Gradient
Sholomon, Dror	A Generalized Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles of Complex Types
Shu, Le	Locality Preserving Projection for Domain Adaptation with Multi-Objective Learning
Si, Luo	Adaptive Knowledge Transfer for Multiple Instance Learning in Image Classification
Sierra-Santibanez, Josefina	An Agent-Based Model Studying the Acquisition of a Language System of Logical Constructions
Sievers, Silvan	Best Paper Nominee: Generalized Label Reduction for Merge-and-Shrink Heuristics
Simkus, Mantas	Capturing Relational Schemas and Functional Dependencies in RDFS Managing Change in Graph-structured Data Using Description Logics
Sina, Sigal	Generating Content for Scenario-Based Serious-Games using CrowdSourcing
Singh, Satinder	Predicting Postoperative Atrial Fibrillation from Independent ECG Components Evaluating Trauma Patients: Addressing Missing Covariates with Joint Optimization
Singla, Adish	Stochastic Privacy
Singla, Parag	Approximate Lifting Techniques for Belief Propagation
Skowron, Piotr	A Characterization of the Single-Peaked Single-Crossing Domain
Sleight, Jason	Multiagent Metareasoning Through Organizational Design
Smyth, Padhraic	30 Year of Probability in AI and Machine Learning
Son, Tran Cao	Solving Uncertain MDPs by Reusing State Information and Plans
Song, Chaoming	Modeling and Predicting Popularity Dynamics via Reinforced Poisson Process
Song, Guojie	Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework
Song, Kai	Joint Morphological Generation and Syntactic Linearization
Song, Linfeng	Joint Morphological Generation and Syntactic Linearization
Song, Xuan	Intelligent System for Urban Emergency Management During Large-scale Disaster
Song, Yangqiu	On Dataless Hierarchical Text Classification
Song, Young	Unsupervised Alignment of Natural Language Instructions with Video Segments
Sonoda, Akihisa	Two Case Studies for Trading Multiple Indivisible Goods with Indifferences
Sordoni, Alessandro	Compact Aspect Embedding For Diversified Query Expansion
Sordoni, Alessandro	Learning Concept Embeddings for Query Expansion by Quantum Entropy Minimization
Soriano Marcolino, Leandro	Give a Hard Problem to a Diverse Team: Exploring Large Action Spaces
Spaan, Matthijs	Point-Based POMDP Solving with Factored Value Function Approximation
Spaulding, Aaron	Large Scale Analogical Reasoning
Spinello, Luciano	Robust Visual Robot Localization Across Seasons using Network Flows
Sprauel, Jonathan	Saturated Path-Constrained MDP: Planning under Uncertainty and Deterministic Model-Checking Constraints
Sridharan, Mohan	DOROTHY: Enhancing Bidirectional Communication between a 3D Programming Interface and Mobile Robots
Stachniss, Cyrill	Robust Visual Robot Localization Across Seasons using Network Flows
Stentz, Anthony	Efficient Optimization for Autonomous Manipulation of Natural Objects
Stepanova, Daria	Exploiting Support Sets for Answer Set Programs with External Evaluations
Stern, Roni	Using Model-Based Diagnosis to Improve Software Testing
Stiil Frederiksen, Søren Kristoffer	The Fisher Market Game: Equilibrium and Welfare
Stone, Peter	AAAI Welcome and Award Presentations TacTex’13: A Champion Adaptive Power Trading Agent
Storandt, Sabine	Best Paper Nominee: Placement of Loading Stations for Electric Vehicles: No Detours Necessary!
Stracuzzi, David	IAAI Welcome and Awards
Streets, Jeffrey	Wormhole Hamiltonian Monte Carlo
Strout, Sean	Multi-Player Games: Introducing Assignments with Open-Ended Strategies in CS2
Stursberg, Paul	Fixing a Balanced Knockout Tournament A Generalization of Probabilistic Serial to Randomized Social Choice
Sturtevant, Nathan	Challenges in Combinatorial Search Exponential Deepening A* for Real-Time Agent-Centered Search Worst-Case Solution Quality Analysis When Not Re-Expanding Nodes in Best-First Search
Su, Kaile	Double Configuration Checking in Stochastic Local Search for Satisfiability Tailoring Local Search for Partial MaxSAT
Suen, Ted Yiu Tat	Deployed: Engineering Works Scheduling for Hong Kong’s Rail Network
Sun, Haixin	Strategyproof exchange with multiple private endowments
Suram, Santosh	A Computational Challenge Problem in Materials Discovery: Synthetic Problem Generator and Real-World Datasets
Suzuki, Jun	Fused Feature Representation Discovery for High-dimensional and Sparse Data
Syed, Zeeshan	Predicting Postoperative Atrial Fibrillation from Independent ECG Components Evaluating Trauma Patients: Addressing Missing Covariates with Joint Optimization
Szeider, Stefan	Backdoors into Heterogeneous Classes of SAT and CSP
Szorenyi, Balazs	PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences
Sørensen, Troels Bjerre	Beat the Cheater: Computing Game-Theoretic Strategies for When to Kick a Gambler out of a Casino
T
Tadepalli, Prasad	Imitation Learning with Demonstrations and Shaping Rewards HC-Search for Multi-Label Prediction: An Empirical Study Learning Scripts as Hidden Markov Models Coactive Learning for Locally Optimal Problem Solving
Taig, Ran	A Relevance-Based Compilation Method for Conformant Probabilistic Planning
Talamadupula, Kartik	Emerging: AI-MIX: Using Automated Planning to Steer Human Workers Towards Better Crowdsourced Plans Easychair as a Pedagogical Tool Engaging Graduate Students in the Reviewing Process
Tambe, Milind	Emerging: Robust Protection of Fisheries with COmPASS Game Theory for Security: Key Algorithmic Principles, Deployed Applications, Research Challenges Give a Hard Problem to a Diverse Team: Exploring Large Action Spaces Emerging: STREETS: Game-Theoretic Traffic Patrolling with Exploration and Exploitation Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains Regret-based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty
Tan, Shulong	Mapping Users Across Networks by Manifold Alignment on Hypergraph
Tan, Xiaoyang	Robust Distance Metric Learning in the Presence of Label Noise
Tandon, Niket	Acquiring Comparative Commonsense Knowledge from the Web
Tang, Jian	Pre-trained Multi-view Word Embedding using Two-side Neural Network
Tang, Jie	Forecasting Potential Diabetes Complications Role-Aware Conformity Influence Modeling and Analysis in Social Networks How Do Your Friends on Social Media Disclose Your Emotions? Cross-lingual Knowledge Validation Based Taxonomy Derivation from Heterogeneous Online Wikis
Tang, Jiliang	Online Social Spammer Detection
Tang, Pingzhong	Internally Stable Matchings and Exchanges
Tao, Dacheng	ReLISH: Reliable Label Inference via Smoothness Hypothesis Signed Laplacian Embedding for Supervised Dimension Reduction
Tao, Dacheng	Active Learning for Crowdsourcing Using Knowledge Transfer
Taylor, Matthew E.	A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence
Taylor, Michael	Joule Counting Correction for Electric Vehicles using Artificial Neural Nets
Teichteil-Königsbuch, Florent	Structured Possibilistic Planning using Decision Diagrams Saturated Path-Constrained MDP: Planning under Uncertainty and Deterministic Model-Checking Constraints
Telelis, Orestis	Item Bidding for Combinatorial Public Projects
Tellex, Stefanie	Challenges in Robotics
Tenenbaum, Josh	Automatic Construction and Natural-Language Description of Nonparametric Regression Models
Thielscher, Michael	Solving the Inferential Frame Problem in the General Game Description Language
Thilikos, Dimitrios	CoreCluster: A Degeneracy Based Graph Clustering Framework
Thomas, Philip	Natural Temporal Difference Learning
Thompson, Daniel	Strimko by Resolution
Thornton, John	Tailoring Local Search for Partial MaxSAT
Tian, Fei	Agent Behavior Prediction and Its Generalization Analysis Learning Deep Representations for Graph Clustering
Tian, Jin	Best Paper Nominee: Recovering from Selection Bias in Causal and Statistical Inference Testable Implications of Linear Structural Equation Models Finding the k-best Equivalence Classes of Bayesian Network Structures for Model Averaging
Tian, Qi	Similarity-Preserving Binary Signature for Linear Subspaces
Tikku, Nirvana	Emerging: A Speech-Driven Second Screen Application for TV Program Discovery
Timmons, Eric	A Scheduler for Actions with Iterated Durations
Toda, Hiroyuki	Semantic Data Representation for Improving Tensor Factorization
Todo, Taiki	Two Case Studies for Trading Multiple Indivisible Goods with Indifferences Strategyproof exchange with multiple private endowments
Toman, David	Cost-Based Query Optimization via AI Planning
Tomonori Honda, Tomonori Honda	Predictive Models for Determining If and When to Display Online Lead Forms
Tran-Dinh, Quoc	Scalable Sparse Covariance Estimation via Self-Concordance
Trikalinos, Thomas	Identifying Differences in Physician Communication Styles with a Log-Linear Transition Component Model
Trombettoni, Gilles	Adaptive Singleton-based Consistencies Q-intersection Algorithms for Constraint-Based Robust Parameter Estimation
Tsang, Ivor W.	Hybrid Heterogeneous Transfer Learning through Deep Learning
Tsimhoni, Omer	Emerging: Advice Provision for Energy Saving in Automobile Climate Control Systems
Tsimpoukelli, Maria	Relaxation Search: a Simple Way of Managing Optional Clauses
Tu, Bojun	Exact Subspace Clustering in Linear Time
Tucker, Max	On the Structure of Synergies in Cooperative Games
Turner, John	Delivering Guaranteed Display Ads under Reach and Frequency Requirements
Tuyls, Karl	Theory of Cooperation in Complex Social Networks
Twiefel, Johannes	Improving Domain-independent Cloud-based Speech Recognition with Domain-dependent Phonetic Post-processing
U
Ungar, Lyle	Spectral Learning Methods for Natural Language Processing
Uras, Tansel	Identifying Hierarchies for Fast Optimal Search
Urban, Joseph	DOROTHY: Enhancing Bidirectional Communication between a 3D Programming Interface and Mobile Robots
Urban, Susan	DOROTHY: Enhancing Bidirectional Communication between a 3D Programming Interface and Mobile Robots
Urieli, Daniel	TacTex’13: A Champion Adaptive Power Trading Agent
V
Valenzano, Richard	Worst-Case Solution Quality Analysis When Not Re-Expanding Nodes in Best-First Search
Valko, Michal	Spectral Thompson Sampling
Valogianni, Konstantina	Effective Management of Electric Vehicle Storage using Smart Charging
Van den Broeck, Guy	Best Paper Nominee: Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics
van der Meyden, Ron	Symbolic Model Checking Epistemic Strategy Logic
Van Dover, R. Bruce	A Computational Challenge Problem in Materials Discovery: Synthetic Problem Generator and Real-World Datasets
Van Esbroeck, Alex	Evaluating Trauma Patients: Addressing Missing Covariates with Joint Optimization
Van Hentenryck, Pascal	Challenges in Constraint Programming
Van Hentenryck, Pascal	Propagating Regular Counting Constraints
Vaquero, Tiago	Schedule-based Robotic Search for Multiple Residents in a Retirement Home Environment
Varakantham, Pradeep	Decentralized Stochastic Planning with Anonymity in Interactions Emerging: STREETS: Game-Theoretic Traffic Patrolling with Exploration and Exploitation
Vardi, Moshe	Distribution-Aware Sampling and Weighted Model Counting for SAT
Vazirgiannis, Michalis	CoreCluster: A Degeneracy Based Graph Clustering Framework
Veiga, Tiago	Point-Based POMDP Solving with Factored Value Function Approximation
Veloso, Manuela	AAAI Special Awards and Honors Scheduling for Transfers in Pickup and Delivery Problems with Very Large Neighborhood Search AI and AAAI: Fascinating Research and Engaged Community
Venturelli, Davide	Parametrized Families of Hard Planning Problems from Phase Transitions
Ver Steeg, Greg	Where and Why Users "Check In"
Vetta, Adrian	False-Name Bidding and Economic Efficiency in Combinatorial Auctions
Vidali, Angelina	Mechanism Design for Scheduling with Uncertain Execution Time.
Vinyals, Meritxell	Efficient Buyer Groups for Prediction-of-Use Electricity Tariffs
Vismara, Philippe	Q-intersection Algorithms for Constraint-Based Robust Parameter Estimation
Vucetic, Slobodan	Spatial Scan for Disease Mapping on a Mobile Population Non-linear Label Ranking for Large-scale Prediction of Long-Term User Interests
Vullikanti, Anil Kumar S.	Equilibria in Epidemic Containment Games
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Wallace, Byron	Identifying Differences in Physician Communication Styles with a Log-Linear Transition Component Model Discovering Better AAAI Keywords via Clustering with Crowd-sourced Constraints
Walsh, Toby	Fixing a Balanced Knockout Tournament
Wan, Hai	Computing General First-order Parallel and Prioritized Circumscription Elementary Loops Revisited
Wan, Ji	SOML: Sparse Online Metric Learning with Application to Image Retrieval
Wan, Xiaojun	Emotion Classification in Microblog Texts Using Class Sequential Rules
Wang, Beidou	Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems
Wang, Bin	Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks
Wang, Changhu	Sketch Recognition with Natural Correction and Editing
Wang, Chaokun	Learning Temporal Dynamics of Behavior Propagation in Social Networks
Wang, Dashun	Modeling and Predicting Popularity Dynamics via Reinforced Poisson Process
Wang, Di	Hybrid Singular Value Thresholding for Tensor Completion
Wang, Dong	Robust Distance Metric Learning in the Presence of Label Noise
Wang, Hao	Cross-Domain Metric Learning Based on Information Theory
Wang, Hua	Globally and Locally Consistent Unsupervised Projection Low-Rank Tensor Completion with Spatio-Temporal Consistency
Wang, Jianmin	Learning Temporal Dynamics of Behavior Propagation in Social Networks
Wang, Jim Jing-Yan	Supervised Transfer Sparse Coding
Wang, Jun	Doubly Regularized Portfolio with Risk Minimization Privacy and Regression Model Preserved Learning
Wang, Kewen	A Tractable Approach to ABox Abduction over Description Logic Ontologies Contraction and Revision over DL-Lite TBoxes
Wang, Lei	Sample-Adaptive Multiple Kernel Learning
Wang, Liwei	Direct Semantic Analysis for Social Image Classification
Wang, Qiaojun	Improving Semi-Supervised Target Alignment via Label-Aware Base Kernels
Wang, Qifan	Adaptive Knowledge Transfer for Multiple Instance Learning in Image Classification
Wang, Sheng	SUIT: A Supervised User-Item based Topic model for Sentiment Analysis
Wang, Shumei	Instance-based Domain Adaptation in NLP via In-target-domain Logistic Approximation
Wang, Shusen	Exact Subspace Clustering in Linear Time Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms
Wang, Taifeng	Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks
Wang, Wei	Cross-Domain Metric Learning Based on Information Theory
Wang, Weiran	LASS: A Simple Assignment Model with Laplacian Smoothing The Role of Dimensionality Reduction in Linear Classification
Wang, Xiaoliang	Labeling Complicated Objects: Multi-View Multi-Instance Multi-Label Learning
Wang, Yan	Context-aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems Trust Prediction with Propagation and Similarity Regularization
Wang, Yining	Small-variance Asymptotics for Dirichlet Process Mixtures of SVMs
Wang, Yizhou	Efficient Generalized Fused Lasso and Its Application to the Diagnosis of Alzheimer’s Disease
Wang, Yujing	Source Free Transfer Learning for Text Classification
Wang, Zhe	Contraction and Revision over DL-Lite TBoxes
Wang, Zhen	Knowledge Graph Embedding by Translating on Hyperplanes
Wang, Zhigang	Cross-lingual Knowledge Validation Based Taxonomy Derivation from Heterogeneous Online Wikis
Wehrle, Martin	Symbolic Domain Predictive Control Best Paper Nominee: Generalized Label Reduction for Merge-and-Shrink Heuristics Planning as Model Checking in Hybrid Domains
Wei, Furu	Adaptive Multi-Compositionality for Recursive Neural Models with Applications to Sentiment Analysis
Wei, Yunchao	Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization
Wei-Kleiner, Fang	Abduction Framework for Repairing Incomplete EL Ontologies: Complexity Results and Algorithms
Weikum, Gerhard	Acquiring Comparative Commonsense Knowledge from the Web
Weinberger, Kilian	Feature-Cost Sensitive Learning with Submodular Trees of Classifiers
Weiss, Gerhard	Theory of Cooperation in Complex Social Networks
Wellman, Michael	Implications of Algorithmic and High-Frequency Trading
Wen, Ji-Rong	Improving Context and Category Matching for Entity Search Direct Semantic Analysis for Social Image Classification
Wen, Shiyang	Emotion Classification in Microblog Texts Using Class Sequential Rules
Wen, Zheng	Large-Scale Optimistic Adaptive Submodularity
Wermter, Stefan	Improving Domain-independent Cloud-based Speech Recognition with Domain-dependent Phonetic Post-processing
Wessel, Michael	Large Scale Analogical Reasoning
West, Roger	Comparing Brute-Force Searching versus the MRV Heuristic in Sudoku Puzzles
Westphal, Stephan	Solving the Traveling Tournament Problem by Packing Three-Vertex Paths
White, Ryen	Stochastic Privacy
Wiley, Timothy	Qualitative Planning with Quantitative Constraints for Online Learning of Robotic Behaviours
Williams, Brian	A Scheduler for Actions with Iterated Durations Chance-constrained Probabilistic Simple Temporal Problems
Williams, Kyle	CiteSeerX: AI in a Digital Library Search Engine
Williams, Thomas	Learning to Recognize Novel Objects in One Shot through Human-Robot Interactions in Natural Language Dialogues
Wilson, Ira	Identifying Differences in Physician Communication Styles with a Log-Linear Transition Component Model
Wilson, Michel	Optimal Decomposition in Linear Constraint Systems
Witteveen, Cees	Optimal Decomposition in Linear Constraint Systems
Wobcke, Wayne	Evaluation and Deployment of a People-to-People Recommender in Online Dating
Wollowski, Michael	Teaching with Watson
Wong, Weng-Keen	A Latent Variable Model for Discovering Bird Species Commonly Misidentified by Citizen Scientists Emerging: Clustering Species Accumulation Curves to Identify Skill Levels of Citizen Scientists Participating in the eBird Project
Wrona, Michał	Local-To-Global Consistency Implies Tractability of Abduction
Wu, Boya	How Do Your Friends on Social Media Disclose Your Emotions?
Wu, Fan	A Strategy-Proof Online Auction with Time Discounting Values
Wu, Fei	Uncorrelated Multi-View Discrimination Dictionary Learning for Recognition
Wu, Feng	Regret-Based Multi-Agent Coordination with Uncertain Task Rewards
Wu, Jian	CiteSeerX: AI in a Digital Library Search Engine
Wu, Jie	Sketch Recognition with Natural Correction and Editing
Wu, Ou	Quality-based Learning for Web Data Classification
Wu, Pengcheng	Learning Relative Similarity by Stochastic Dual Coordinate Ascent
Wu, Shan-Shan	Intra-view and Inter-view Supervised Correlation Analysis for Multi-view Feature Learning
Wu, Wei	Double Configuration Checking in Stochastic Local Search for Satisfiability
Wu, Xiaojian	Rounded Dynamic Programming for Tree-Structured Stochastic Network Design
Wytock, Matt	Contextually Supervised Source Separation with Application to Energy Disaggregation
X
Xia, Rongkai	Supervised Hashing for Image Retrieval via Image Representation Learning Robust Multi-View Spectral Clustering via Low-Rank and Sparse Decomposition
Xia, Rui	Instance-based Domain Adaptation in NLP via In-target-domain Logistic Approximation
Xia, Yingce	Incentivizing High-Quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium
Xiang, Evan	Source Free Transfer Learning for Text Classification
Xiang, Yanping	Influence Maximization with Novelty Decay in Social Networks
Xiao, Jianguo	Semantic Graph Construction for Weakly-Supervised Image Parsing Cross-View Feature Learning for Scalable Social Image Analysis
Xiao, Lin	Online Classification Using a Voted RDA Method
Xiao, Min	Semi-supervised Matrix Completion for Cross-Lingual Text Classification
Xiao, Peng	Elementary Loops Revisited
Xiao, Zhanhao	Computing General First-order Parallel and Prioritized Circumscription Elementary Loops Revisited
Xie, Fan	Type-Based Exploration with Multiple Search Queues for Satisficing Planning Adding Local Exploration to Greedy Best-First Search for Satisficing Planning
Xie, Kunqing	Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework
Xie, Wenxuan	Semantic Graph Construction for Weakly-Supervised Image Parsing Cross-View Feature Learning for Scalable Social Image Analysis
Xin, Bo	Efficient Generalized Fused Lasso and Its Application to the Diagnosis of Alzheimer’s Disease
Xing, Chunxiao	How Do Your Friends on Social Media Disclose Your Emotions?
Xiong, Caiming	Latent Domains Modeling for Visual Domain Adaptation
Xiong, Tao	A Joint Optimization Model for Image Summarization Based on Image Content and Tags
Xu, Baohan	Predicting Emotions in User-Generated Videos
Xu, Chang	Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks
Xu, Chao	Pre-trained Multi-view Word Embedding using Two-side Neural Network
Xu, Congfu	Exact Subspace Clustering in Linear Time
Xu, Eddie	Feature-Cost Sensitive Learning with Submodular Trees of Classifiers
Xu, Fanjiang	Cross-Domain Metric Learning Based on Information Theory
Xu, Feng	Instance-based Domain Adaptation in NLP via In-target-domain Logistic Approximation
Xu, Guandong	Deep Modeling of Group Preferences for Group-based Recommendation
Xu, Haifeng	Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains
Xu, Haifeng	Give a Hard Problem to a Diverse Team: Exploring Large Action Spaces
Xu, Jia	Bagging by design (on the sub-optimality of bagging)
Xu, Jinhui	Finding Median Point-Set Using Earth Mover's Distance
Xu, Ke	Adaptive Multi-Compositionality for Recursive Neural Models with Applications to Sentiment Analysis
Xu, Nuo	GP-Localize: Persistent Mobile Robot Localization using Online Sparse Gaussian Process Observation Model
Xu, Tianbing	Online Classification Using a Voted RDA Method
Xue, Xiangyang	Predicting Emotions in User-Generated Videos Semantic Segmentation Using Multiple Graphs with Block-Diagonal Constraints
Y
Yadav, Amulya	Regret-based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty
Yamaguchi, Yohei	Accurate Household Occupant Behavior Modeling Based on Data Mining Techniques
Yan, Jun	Pre-trained Multi-view Word Embedding using Two-side Neural Network
Yan, Shuicheng	Supervised Hashing for Image Retrieval via Image Representation Learning Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization Similarity-Preserving Binary Signature for Linear Subspaces
Yan, Yan	Hybrid Heterogeneous Transfer Learning through Deep Learning
Yang, Bo	Modeling and Mining Spatiotemporal Patterns of Infection Risk from Heterogeneous Data for Active Surveillance Planning
Yang, Jian	Delivering Guaranteed Display Ads under Reach and Frequency Requirements
Yang, Jie	ReLISH: Reliable Label Inference via Smoothness Hypothesis Signed Laplacian Embedding for Supervised Dimension Reduction
Yang, Jing-Yu	Intra-view and Inter-view Supervised Correlation Analysis for Multi-view Feature Learning
Yang, Qiang	Source Free Transfer Learning for Text Classification
Yang, Yang	Forecasting Potential Diabetes Complications How Do Your Friends on Social Media Disclose Your Emotions?
Yang, Yi	Modeling and Mining Spatiotemporal Patterns of Infection Risk from Heterogeneous Data for Active Surveillance Planning
Yang, Yi	A Convex Formulation for Semi-supervised Multi-Label Feature Selection
Yang, Yinfei	Detecting Information-Dense Texts in Multiple News Domains
Yang, Yunlun	A Joint Optimization Model for Image Summarization Based on Image Content and Tags
Yao, Junjie	User Group Oriented Temporal Dynamics Exploration
Yao, Yong-Fang	Uncorrelated Multi-View Discrimination Dictionary Learning for Recognition
Yeh, Peter Z.	Emerging: A Speech-Driven Second Screen Application for TV Program Discovery
Yeoh, William	Solving Uncertain MDPs by Reusing State Information and Plans A Simple Polynomial-Time Randomized Distributed Algorithm for Connected Row Convex Constraints Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs
Yi, Jinfeng	Privacy and Regression Model Preserved Learning
Yi, Zhang	A Local Non-negative Pursuit Method for Intrinsic Manifold Structure Preservation
Yilmaz, Yavuz Selim	Emerging: Crowdsourcing for Multiple-Choice Question Answering
Yin, Jian	Robust Multi-View Spectral Clustering via Low-Rank and Sparse Decomposition
Yin, Jianping	Sample-Adaptive Multiple Kernel Learning
Yin, Jie	Active Learning for Crowdsourcing Using Knowledge Transfer
Yin, Yue	Game-theoretic Resource Allocation for Protecting Large Public Events
Yokoo, Makoto	Two Case Studies for Trading Multiple Indivisible Goods with Indifferences Strategyproof exchange with multiple private endowments
Yoo, Jaebong	Capturing Difficulty Expressions in Student Online Q&A Discussions
Yoshida, Yuichi	Fast and Accurate Influence Maximization on Large Networks with Pruned Monte-Carlo Simulations
You, Suya	Emerging: A Unified Framework for Augmented Reality and Knowledge-Based Systems in Maintaining Aircraft
Yu, Hongliang	A Joint Optimization Model for Image Summarization Based on Image Content and Tags
Yu, Jianfei	Instance-based Domain Adaptation in NLP via In-target-domain Logistic Approximation
Yu, Jun	HC-Search for Multi-Label Prediction: An Empirical Study
Yu, Jun	A Latent Variable Model for Discovering Bird Species Commonly Misidentified by Citizen Scientists
Yu, Jun	Emerging: Clustering Species Accumulation Curves to Identify Skill Levels of Citizen Scientists Participating in the eBird Project
Yu, Nenghai	Incentivizing High-Quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium
Yu, Peng	Chance-constrained Probabilistic Simple Temporal Problems
Yu, Yang	Learning with Augmented Class by Exploiting Unlabeled Data
Yu, Yong	Learning Word Representation Considering Proximity and Ambiguity
Yuan, Changhe	Tightening Bounds for Bayesian Network Structure Learning
Yuan, Ting	Recommendation by Mining Multiple User Behaviors with Group Sparsity
Yuan, Zhenfeng	Computing General First-order Parallel and Prioritized Circumscription
Yuruten, Onur	Decomposing Activities of Daily Living to Discover Routine Clusters
Z
Zamir, Tom	Using Model-Based Diagnosis to Improve Software Testing
Zarrieß, Benjamin	Exploring the Boundaries of Decidable Verification of Non-Terminating Golog Programs
Zeng, Sheng	Semantic Segmentation Using Multiple Graphs with Block-Diagonal Constraints
Zeng, Yifeng	Influence Maximization with Novelty Decay in Social Networks
Zettlemoyer, Luke	Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions
Zha, Hongyuan	Learning Parametric Models for Social Infectivity in Multi-dimensional Hawkes Processes
Zhang, Bo	Dropout Training for Support Vector Machines Similarity-Preserving Binary Signature for Linear Subspaces
Zhang, Chao	Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms
Zhang, Chen	Cross-Domain Metric Learning Based on Information Theory
Zhang, Chongjie	Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs
Zhang, Dongdong	Machine Translation with Real-time Web Search
Zhang, Dongqing	Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization
Zhang, Feng	k-CoRating: Filling up Data to Obtain Privacy and Utility
Zhang, Heng	Computing General First-order Parallel and Prioritized Circumscription
Zhang, Jiajun	Mind the Gap: Machine Translation by Minimizing the Semantic Gap in Embedding Space
Zhang, Jian	Sample-Adaptive Multiple Kernel Learning
Zhang, Jianwen	Knowledge Graph Embedding by Translating on Hyperplanes
Zhang, Jie	The Fisher Market Game: Equilibrium and Welfare
Zhang, Jie	Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation
Zhang, Jing	Role-Aware Conformity Influence Modeling and Analysis in Social Networks
Zhang, Jiyong	Decomposing Activities of Daily Living to Discover Routine Clusters
Zhang, Jun	Learning Temporal Dynamics of Behavior Propagation in Social Networks
Zhang, Kai	Improving Semi-Supervised Target Alignment via Label-Aware Base Kernels
Zhang, Ke	Semantic Segmentation Using Multiple Graphs with Block-Diagonal Constraints
Zhang, Kun	Cross-lingual Knowledge Validation Based Taxonomy Derivation from Heterogeneous Online Wikis
Zhang, Kuo	Cross-lingual Knowledge Validation Based Taxonomy Derivation from Heterogeneous Online Wikis
Zhang, Lijun	Sparse Learning for Stochastic Composite Optimization
Zhang, Liqing	Sketch Recognition with Natural Correction and Editing
Zhang, Miao	Feature Selection at the Discrete Limit
Zhang, Min	Fraudulent Support Telephone Number Identification Based on Co-occurrence Information on the Web
Zhang, Ming	SUIT: A Supervised User-Item based Topic model for Sentiment Analysis
Zhang, Peng	Combining Heterogenous Social and Geographical Information for Event Recommendation
Zhang, Quanshi	Intelligent System for Urban Emergency Management During Large-scale Disaster
Zhang, Shumei	How Do Your Friends on Social Media Disclose Your Emotions?
Zhang, Wei	Semantic Segmentation Using Multiple Graphs with Block-Diagonal Constraints
Zhang, Wei-Jia	Multi-Instance Learning with Distribution Change
Zhang, Weizhong	Sparse Learning for Stochastic Composite Optimization
Zhang, Xi	Recommendation by Mining Multiple User Behaviors with Group Sparsity
Zhang, Xianchao	Novel Density-based Clustering Algorithms for Uncertain Data
Zhang, Xiaoqin	Hybrid Singular Value Thresholding for Tensor Completion
Zhang, Xiaoqin	Scalable Complex Contract Negotiation With Structured Search and Agenda Management
Zhang, Xiaotong	Novel Density-based Clustering Algorithms for Uncertain Data
Zhang, Ya	Feature Selection at the Discrete Limit
Zhang, Yan	Computing General First-order Parallel and Prioritized Circumscription
Zhang, Yangmuzi	Learning Low-Rank Representations with Classwise Block-Diagonal Structure for Robust Face Recognition
Zhang, Yongdong	SOML: Sparse Online Metric Learning with Application to Image Retrieval
Zhang, Yu	Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework
Zhang, Yue	Joint Morphological Generation and Syntactic Linearization
Zhang, Yuyu	Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks
Zhang, Zhihua	Exact Subspace Clustering in Linear Time Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms
Zhao, Kang	Locality Preserving Hashing
Zhao, Peilin	Learning Relative Similarity by Stochastic Dual Coordinate Ascent
Zhdanov, Dmitry	Effective Management of Electric Vehicle Storage using Smart Charging
Zheng, Jiangchuan	Robust Bayesian Inverse Reinforcement Learning with Sparse Behavior Noise
Zheng, Jin	Semantic Data Representation for Improving Tensor Factorization
Zheng, Shuai	Accurate Integration of Aerosol Predictions by Smoothing on a Manifold
Zheng, Xiaolin	Context-aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems
Zheng, Xiaoming	Trust Prediction with Propagation and Similarity Regularization
Zheng, Zhenzhe	A Strategy-Proof Online Auction with Time Discounting Values
Zhong, Guoqiang	Low-Rank Tensor Learning with Discriminant Analysis for Action Classification and Image Recovery
Zhong, Wenliang	Gradient Descent with Proximal Average for Nonconvex and Composite Regularization
Zhong, Youliang	Trust Prediction with Propagation and Similarity Regularization
Zhou, Chuan	Combining Heterogenous Social and Geographical Information for Event Recommendation
Zhou, Joey Tianyi	Hybrid Heterogeneous Transfer Learning through Deep Learning
Zhou, Ming	Mind the Gap: Machine Translation by Minimizing the Semantic Gap in Embedding Space Machine Translation with Real-time Web Search
Zhou, Ming	Adaptive Multi-Compositionality for Recursive Neural Models with Applications to Sentiment Analysis
Zhou, Quan	Feature-Cost Sensitive Learning with Submodular Trees of Classifiers
Zhou, Shuigeng	Towards Topological-transformation Robust Shape Comparison: A Sparse Representation Based Manifold Embedding Approach
Zhou, Xiaonong	Modeling and Mining Spatiotemporal Patterns of Infection Risk from Heterogeneous Data for Active Surveillance Planning
Zhou, Yujiao	Pay-as-you-go OWL Query Answering Using a Triple Store
Zhou, Zhengyuan	Hybrid Singular Value Thresholding for Tensor Completion
Zhou, Zhi-Hua	Learning with Augmented Class by Exploiting Unlabeled Data Partial Multi-View Clustering Fast Multi-Instance Multi-Label Learning Multi-Instance Learning with Distribution Change
Zhou, Zhi-Hua	Labeling Complicated Objects: Multi-View Multi-Instance Multi-Label Learning
Zhu, Charlotte	Generalizing Policy Advice with Gaussian Process Bandits for Dynamic Skill Improvement
Zhu, Jun	Dropout Training for Support Vector Machines Small-variance Asymptotics for Dirichlet Process Mixtures of SVMs
Zhu, Yang-Ping	Intra-view and Inter-view Supervised Correlation Analysis for Multi-view Feature Learning
Zhu, Yin	Source Free Transfer Learning for Text Classification
Zhu, Yuke	Emerging: StrokeBank: Automating Personalized Chinese Handwriting Generation
Zhu, Zichen	Boosting SBDS for Partial Symmetry Breaking in Constraint Programming
Zhuang, Honglei	Role-Aware Conformity Influence Modeling and Analysis in Social Networks
Zhuang, Zhiqiang	Contraction and Revision over DL-Lite TBoxes
Zilberstein, Shlomo	Rounded Dynamic Programming for Tree-Structured Stochastic Network Design Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs
Zillich, Michael	Learning to Recognize Novel Objects in One Shot through Human-Robot Interactions in Natural Language Dialogues
Zivan, Roie	Dynamic Multi-Agent Task Allocation with Spatial and Temporal Constraints
Zong, Alfred	Emerging: StrokeBank: Automating Personalized Chinese Handwriting Generation
Zong, Chengqing	Mind the Gap: Machine Translation by Minimizing the Semantic Gap in Embedding Space
Zook, Alexander	Automatic Game Design via Mechanic Generation
Ž
Živný, Stanislav	Backdoors into Heterogeneous Classes of SAT and CSP