58TH ALLERTON CONFERENCE: 58TH ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING

A
Abdennadher, Yasmine	Model-Enhanced Localization of Forced Oscillation Using PMU Data
Adlam, Ben	Overparameterization improves robustness to covariate shift in high dimensions
Aghajan, Adel	Equilibrium characterizations of multi-resource Lotto games
Ahmad, Rizwan	A Regularized Conditional GAN for Posterior Sampling in Inverse Problems
Akbari, Sina	Recursive Causal Structure Learning
Alizadeh, Mahnoosh	A safe pricing algorithm for distributed demand management The Art of Concession in General Lotto Games
Alon, Uri	Oversquashing in GNNs through the lens of information contraction and graph expansion
Amin, Saurabh	Equilibrium analysis of game on heterogeneous networks with coupled activities Information provision to manage strategic agents over star networks - static and dynamic designs
Ardakanian, Omid	Inverse Power Flow Problem
Arnold, Daniel	Graph Convolutional Neural Networks for Control of Smart Inverters in Power Grids
Atia, George	A distributionally robust approach to domain adaptation
Awad, Akram	A distributionally robust approach to domain adaptation
B
Bahrami, Sajjad	Trimmed Minimum Error Entropy for Robust Online Regression
Balu, Aditya	Distributed Online Non-convex Optimization with Composite Regret
Banerjee, Adrish	Bounds on Reversible, Complement, Reversible-Complement, Constant Weight Sum Codes
Banerjee, Pradeep Kr.	Oversquashing in GNNs through the lens of information contraction and graph expansion
Banerjee, Siddhartha	The Multisecretary Problem: Regret, Approximation and Learning
Banerjee, Taposh	Quickest Detection of a Threat to an Impending Disaster
Barboza, Gia	Individual Altruism Cannot Overcome Congestion Effects in a Global Pandemic Game
Bayiz, Yigit Ege	Decentralized Online Influence Maximization
Benalcazar, Diego	Distributed Consensus-based Kalman Filter under Limited Communication
Bendel, Matt	A Regularized Conditional GAN for Posterior Sampling in Inverse Problems
Benerjee, Krishna Gopal	Bounds on Reversible, Complement, Reversible-Complement, Constant Weight Sum Codes
Bhatnagar, Shalabh	Schedule Based Temporal Difference Algorithms
Bloch, Matthieu	Commitment over Multiple-Access Channels Controlled Sensing with Corrupted Commands
Borkar, Vivek	A concentration bound for distributed stochastic approximation
Bou Rouphael, Rony	Strategic Communication via Cascade Multiple-Description Network
Bouman, Charles	Multi-Pose Fusion for Sparse-View CT Reconstruction Using Consensus Equilibrium
Brinton, Christopher	Linear Coding for Gaussian Two-Way Channels
Brown, Philip	Individual Altruism Cannot Overcome Congestion Effects in a Global Pandemic Game
Brucks, Tim	Quickest Detection of a Threat to an Impending Disaster
Brânzei, Simina	How to Charge Lightning: The Economics of Bitcoin Transaction Channels
Bu, Yuheng	Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
Buzzard, Gregery	Multi-Pose Fusion for Sparse-View CT Reconstruction Using Consensus Equilibrium
C
Canatar, Abdulkadir	A Kernel Analysis of Feature Learning in Deep Neural Networks
Candogan, Ozan	Persuasion in Networks: Public Signals and Cores
Case, Adam	Finite-State Mutual Dimension
Celentano, Michael	Local convexity of the TAP free energy and AMP convergence for Z2-synchronization
Chandan, Rahul	The Art of Concession in General Lotto Games
Chang, Kevin	Practical Control Design for the Deep Learning Age: Distillation of Deep RL-Based Controllers
Chang, Meng-Che	Controlled Sensing with Corrupted Commands
Charalambides, Neophytos	Secure Linear MDS Coded Matrix Inversion
Charalambous, Themistoklis	Synchronized Stop and Re-start Distributed Average Consensus for Control and Coordination Applications
Charpenay, Nicolas	Zero-error Coding for Computing with Encoder Side-information
Chawin, Dror	Hardness of Linear Index Coding on Perturbed Instances
Chen, Cong	Storage Participation with State-of-Charge Dependent Offers and Bids: Market Clearing, Pricing, and Incentive Compatibility
Chen, Hao	Byzantine Resilience With Reputation Scores
Chen, Xinyi	Black-box Control for Linear Dynamical Systems
Chen, Zheng	Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations
Cheng, Yuan	Representation-assisted Reinforcement Learning under Distribution Shift
Chinchali, Sandeep	Adversarial Examples for Model-Based Control: A Sensitivity Analysis
Chincilla, Raphael	Second order methods for min-max optimization with stability guarantees
Chou, Remi	Commitment over Multiple-Access Channels
Cohen, Asaf	Learning-based Optimal Admission Control in a Single Server Queuing System
Cohen, Kobi	CoBAAF: Controlled Bayesian Air Aggregation Federated Learning from Heterogeneous Data Decentralized Anomaly Detection via Deep Multi-Agent Reinforcement Learning
Collins, Brandon	Individual Altruism Cannot Overcome Congestion Effects in a Global Pandemic Game
Collins, Liam	On representation learning with Model-Agnostic Meta-Learning
Cui, Wenqi	Stable and Decentralized Learning for Voltage Regulation
Cullina, Daniel	Phase transitions in the Gaussian database alignment and planted Gaussian matching problems
D
D'Oliveira, Rafael G. L.	Degree Tables for Private Information Retrieval
Dahlin, Nathan	Practical Control Design for the Deep Learning Age: Distillation of Deep RL-Based Controllers
Das, Subhro	Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
de Oliveira, Mauricio C.	Convex Parameterization of Stabilizing Controllers and its LMI-based Computation via Filtering
Deb, Rohan	Schedule Based Temporal Difference Algorithms
Devroye, Natasha	Achievable Rate Regions for the Gaussian Broadcast Channel with Fixed Blocklength and Per User Reliability An Error Exponent for the AWGN Channel with Decision Feedback and Lattice Coding Opening the black box: deep-learned error-correcting codes
Dhople, Sairaj	Optimal Primary- and Secondary-control Design for Grids with Generators and Inverters
Djouadi, Seddik	Approaches to Analysis of Power System Dynamics with High Penetration of Inverter Interfaced Devices
Doan, Thinh	Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games
Dolhare, Harsh	A concentration bound for distributed stochastic approximation
Dudeja, Rishabh	Universality of High-Dimensional Estimation with Nearly Deterministic Sensing Matrices
Duffaut Espinosa, Luis	Reachability of Chen-Fliess series: A Gradient Descent Approach
Dutta, Abhinanda	Throughput optimized random access channel assignment
Dvorkin, Yury	Bringing Data Science and Machine Learning into Electricity Markets
E
Eldar, Yonina	CoBAAF: Controlled Bayesian Air Aggregation Federated Learning from Heterogeneous Data
Emiola, Iyanuoluwa	Q-linear Convergence of Distributed Optimization with Barzilai-Borwein Step Sizes
Enyioha, Chinwendu	Q-linear Convergence of Distributed Optimization with Barzilai-Borwein Step Sizes Distributed Consensus-based Kalman Filter under Limited Communication
F
Fallah, Alireza	Optimal Private Data Acquisition: Central and Local Differential Privacy
Fan, Zhou	Local convexity of the TAP free energy and AMP convergence for Z2-synchronization
Farias, Vivek	Markovian Interference in Experiments
Farnoud, Farzad	Permutation Codes for Correcting a Burst of at Most $t$ Deletions
Farokhi, Farhad	Asymptotically Optimal Worst-Case State Estimation over Noisy Channels
Feder, Meir	Active Learning for Individual Data via Minimal Stochastic Complexity
Fengler, Alexander	Finite-Blocklength Results for the A-channel: Applications to Unsourced Random Access and Group Testing
Ferguson, Bryce	Ensuring the Defense of Paths and Perimeters in Dynamic Defender-Attacker Blotto Games (dDAB) on Graphs
Fiscko, Carmel	Identifying Influential Agents Via Faux Adversarial Games
Franceschetti, Massimo	Random Adaptation Perspective to Distributed Computation
Freeman, Randy	Proximal methods for self-healing and exact distributed convex optimization
Fridovich-Keil, David	Alternating Direction Method of Multipliers for Decomposable Saddle-Point Problems Mixed Strategies with Finite Support in Continuous Spaces: A Case Study in Trajectory Games
G
Gabrys, Ryan	Permutation Codes for Correcting a Burst of at Most $t$ Deletions
Gafni, Tomer	CoBAAF: Controlled Bayesian Air Aggregation Federated Learning from Heterogeneous Data
Gandhi, Meet	Schedule Based Temporal Difference Algorithms
Gao, Xing	An Interactive Search Game with Two Agents
Geng, Sijia	Dynamic Performance of Unified Grid-Forming/Following Inverter Control
Ghassami, Amiremad	Recursive Causal Structure Learning
Ghosh, Avrajit	Robust Deep Image Prior with Partial Guidance
Ghosh, Soumya	Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
Gilbert, Anna	May the force be with you
Goebel, Rafal	On the Conley's decomposition for well-posed hybrid inclusions
Gouverneur, Amaury	An Information-Theoretic Analysis of Bayesian Reinforcement Learning
Gray, W. Steven	System Identification Entropy for Chen-Fliess Series and Their Interconnections
Grosof, Isaac	Optimal Scheduling for Multi-Server Systems: Adversarial versus Stochastic Viewpoints
Grover, Pulkit	Extracting Unique Information Through Markov Relations
Groß, Dominic	Compensating Network Dynamics in Grid-Forming Control
Gupta, Abhishek	Byzantine Resilience With Reputation Scores A Survey of Dynamic Watermarking Algorithms and Some Recent Developments
Gurushankar, Keerthana	Extracting Unique Information Through Markov Relations
H
Hadjicostis, Christoforos	Synchronized Stop and Re-start Distributed Average Consensus for Control and Coordination Applications
Halme, Topi	Spatio-temporal Multiple Change-point Detection in Sensor Networks
Han, Yanjun	Beyond UCB: statistical complexity and optimal algorithm for non-linear ridge bandits
Han, Yanjun	Near-optimal algorithms for Imitation Learning
Harchol-Balter, Mor	Optimal Scheduling for Multi-Server Systems: Adversarial versus Stochastic Viewpoints
Harvey, Charles	Equilibrium analysis of game on heterogeneous networks with coupled activities
Haviv, Ishay	Hardness of Linear Index Coding on Perturbed Instances
Hazan, Elad	Black-box Control for Linear Dynamical Systems
Hegde, Chinmay	Distributed Online Non-convex Optimization with Composite Regret
Heidarzadeh, Anoosheh	Multi-Message Private Information Retrieval: A Scalar Linear Solution
Hero, Alfred	Secure Linear MDS Coded Matrix Inversion
Hespanha, Joao	Second order methods for min-max optimization with stability guarantees
Hill, Colton	Individual Altruism Cannot Overcome Congestion Effects in a Global Pandemic Game
Hines, Lisa	Individual Altruism Cannot Overcome Congestion Effects in a Global Pandemic Game
Hiskens, Ian	Dynamic Performance of Unified Grid-Forming/Following Inverter Control
Hong, Yige	Maximizing Utilization in Large Systems Serving Jobs with Time-Varying Resource Requirements
Hosseinalipour, Seyyedali	Linear Coding for Gaussian Two-Way Channels
Hu, Yang	On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory
Huang, Shao-Lun	On Sample Complexity of Learning Shared Representations: The Asymptotic Regime
Huang, Yunhan	The Inverse Problem of Linear-Quadratic Differential Games: When is a Control Strategies Profile Nash?
J
Jaillet, Patrick	Information provision to manage strategic agents over star networks - static and dynamic designs
Jain, Rahul	Practical Control Design for the Deep Learning Age: Distillation of Deep RL-Based Controllers
Jamieson, Kevin	Beyond No Regret: Instance-Dependent PAC Reinforcement Learning
Janardhanan, Mano Vikash	On Learning a Hidden Directed Graph with Path Queries
Jang, Sunho	Data-driven estimation of probabilistic constraints for network-safe distributed energy resource control
Jhunjhunwala, Divyansh	Leveraging Spatial and Temporal Correlations in Distributed Learning
Jiang, Zhanhong	Distributed Online Non-convex Optimization with Composite Regret
Jiao, Jiantao	Near-optimal algorithms for Imitation Learning Beyond UCB: statistical complexity and optimal algorithm for non-linear ridge bandits
Joshi, Gauri	Leveraging Spatial and Temporal Correlations in Distributed Learning
Ju, Peizhong	Understanding the generalization power of overfitted NTK models: 3-layer vs. 2-layer
K
Kalagarla, Krishna	Practical Control Design for the Deep Learning Age: Distillation of Deep RL-Based Controllers
Kalvit, Anand	Bandits with Dynamic Arm-acquisition Costs
Kao, Hsu	Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure
Kar, Soummya	Identifying Influential Agents Via Faux Adversarial Games
Karabag, Mustafa O.	Alternating Direction Method of Multipliers for Decomposable Saddle-Point Problems
Karhadkar, Kedar	Oversquashing in GNNs through the lens of information contraction and graph expansion
Karl, Holger	Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law
Katz, Itamar	Optimal Discrimination Between Two Pure States and Dolinar-Type Coherent-State Detection
Kavitha, Veeraruna	Pricing, competition and market segmentation in ride hailing
Kazemi, Fatemeh	Degree Tables for Private Information Retrieval
Kemp, Craig	Multi-Pose Fusion for Sparse-View CT Reconstruction Using Consensus Equilibrium
Kim, Junghoon	Linear Coding for Gaussian Two-Way Channels
Kim, Taejoon	Linear Coding for Gaussian Two-Way Channels
Kiumarsi, Bahare	Risk-Aware Safe Optimal Control of Uncertain Linear Systems
Kiyavash, Negar	Recursive Causal Structure Learning
Kizaric, Ben	Classifying Incomplete Data with a Mixture of Subspace Experts
Kochman, Yuval	Optimal Discrimination Between Two Pure States and Dolinar-Type Coherent-State Detection
Koivunen, Visa	Spatio-temporal Multiple Change-point Detection in Sensor Networks
Kovenock, Dan	The Art of Concession in General Lotto Games
Krishnamurthy, Vikram	Quickest Detection with Anticipatory and Quantum Decision Makers
Kurt, Mehmet Necip	Data-Driven Sequential Change Detection in Privacy-Sensitive Networks
L
Lai, Lifeng	Policy Gradient based Entropic-VaR Optimization in Risk-Sensitive Reinforcement Learning
Lancho, Alejandro	Finite-Blocklength Results for the A-channel: Applications to Unsourced Random Access and Group Testing
Larsson, Erik G.	Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations
Lauand, Caio Kalil	Bias in Stochastic Approximation Cannot Be Eliminated With Averaging
Le Treust, Maël	Strategic Communication via Cascade Multiple-Description Network
Le Treust, Maël	Zero-error Coding for Computing with Encoder Side-information
Lee, Xian Yeow	Distributed Online Non-convex Optimization with Composite Regret
Lee, Young M.	Distributed Online Non-convex Optimization with Composite Regret
Lesieutre, Bernard	Model-Enhanced Localization of Forced Oscillation Using PMU Data
Li, Huanran	Minimum-Length Trace Reconstruction via Integer Programming
Li, Na	Escaping saddle points in zeroth-order optimization: two function evaluations suffice Gradient play in stochastic games: stationary points, convergence, and sample complexity
Li, Po-Han	Adversarial Examples for Model-Based Control: A Sensitivity Analysis
Li, Xiang	Robust Deep Image Prior with Partial Guidance
Li, Xiaodong	Selecting the Number of Communities in Count-Weighted Networks
Liang, Shijun	Robust Deep Image Prior with Partial Guidance
Liang, Yingbin	Representation-assisted Reinforcement Learning under Distribution Shift
Liao, Jialing	Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations
Lin, Xiaojun	Understanding the generalization power of overfitted NTK models: 3-layer vs. 2-layer
Liu, Bai	Universal Policy Tracking: Scheduling for Wireless Networks with Delayed State Observation
Liu, Hedongliang	Covering Properties of Sum-Rank Metric Codes
Liu, Xin	Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment
Liu, Yucheng	Selecting the Number of Communities in Count-Weighted Networks
Love, David	Linear Coding for Gaussian Two-Way Channels
Low, Steven	Inverse Power Flow Problem
Lu, Yue	Universality of High-Dimensional Estimation with Nearly Deterministic Sensing Matrices
Lutz, Jack	Finite-State Mutual Dimension
M
Makhdoumi, Ali	Optimal Private Data Acquisition: Central and Local Differential Privacy
Malekian, Azarakhsh	Optimal Private Data Acquisition: Central and Local Differential Privacy
Mallick, Ankur	Leveraging Spatial and Temporal Correlations in Distributed Learning
Manitaras, Nicolas	Synchronized Stop and Re-start Distributed Average Consensus for Control and Coordination Applications
Mao, Cheng	Detection-Recovery Gap for Planted Dense Cycles
Marden, Jason	Ensuring the Defense of Paths and Perimeters in Dynamic Defender-Attacker Blotto Games (dDAB) on Graphs The Art of Concession in General Lotto Games
Marden, Jason	Equilibrium characterizations of multi-resource Lotto games
Mathieu, Johanna	Data-driven estimation of probabilistic constraints for network-safe distributed energy resource control
Matni, Nikolai	TaSIL: Taylor Series Imitation Learning
McMahan, Jeremy	Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning
Mei, Song	Local convexity of the TAP free energy and AMP convergence for Z2-synchronization
Mei, Yajun	Efficient sequential UCB-based Hungarian algorithm for assignment problems
Meyn, Sean	Bias in Stochastic Approximation Cannot Be Eliminated With Averaging
Mishra, Rahul	Quickest Detection of a Threat to an Impending Disaster
Mitra, Purbesh	ASUMAN: Age Sense Updating Multiple Access in Networks
Modares, Hamidreza	Risk-Aware Safe Optimal Control of Uncertain Linear Systems
Modiano, Eytan	Queueing Delay Minimization in Overloaded Networks via Rate Control Universal Policy Tracking: Scheduling for Wireless Networks with Delayed State Observation
Mokhtari, Aryan	On representation learning with Model-Agnostic Meta-Learning
Mokhtarian, Ehsan	Recursive Causal Structure Learning
Montufar, Guido	Oversquashing in GNNs through the lens of information contraction and graph expansion
Mosterman, Pieter J.	Data-Driven Sequential Change Detection in Privacy-Sensitive Networks
Moustakides, George	Window-Limited CUSUM for Sequential Change Detection
Mukherjee, Arpan	Efficient SPRT-based Best Arm Identification in Stochastic Bandits
Mulgund, Abhijeet	Opening the black box: deep-learned error-correcting codes
N
Nair, Girish	Asymptotically Optimal Worst-Case State Estimation over Noisy Channels
Nair, Jayakrishnan	Pricing, competition and market segmentation in ride hailing
Neely, Michael J.	Repeated Games, Optimal Channel Capture, and Open Problems for Slotted Multiple Access
Ni, Xinyi	Policy Gradient based Entropic-VaR Optimization in Risk-Sensitive Reinforcement Learning
Nitzan, Eyal	Spatio-temporal Multiple Change-point Detection in Sensor Networks
Niu, Xiaochun	GRAND: A Gradient-Related Ascent and Descent Algorithmic Framework for Minimax Problems
Nowak, Rob	Learning Preference Distributions From Distance Measurements
Nuzzo, Pierluigi	Practical Control Design for the Deep Learning Age: Distillation of Deep RL-Based Controllers
O
Oechtering, Tobias	Uncertainty in Biometric Identification and Authentication Systems with Strong Secrecy An Information-Theoretic Analysis of Bayesian Reinforcement Learning
Oh, Sewoong	On representation learning with Model-Agnostic Meta-Learning
Olshevsky, Alex	On the connection between reinforcement learning and gradient descent
Ott, Cornelia	Covering Properties of Sum-Rank Metric Codes
Ozay, Necmiye	Guaranteeing safety for systems with missing measurements Data-driven estimation of probabilistic constraints for network-safe distributed energy resource control
Ozdaglar, Asu	Symmetric Natural Policy Gradient for Regularized Multi-Agent Learning with Parameter Convergence Optimal Private Data Acquisition: Central and Local Differential Privacy
P
Paarporn, Keith	Equilibrium characterizations of multi-resource Lotto games The Art of Concession in General Lotto Games
Palacio-Baus, Kenneth	An Error Exponent for the AWGN Channel with Decision Feedback and Lattice Coding
Parasnis, Rohit	Random Adaptation Perspective to Distributed Computation
Park, Josiah	Grassmannian packings: Trust region stochastic tuning for matrix incoherence
Pattathil, Sarath	Symmetric Natural Policy Gradient for Regularized Multi-Agent Learning with Parameter Convergence
Pehlevan, Cengiz	A Kernel Analysis of Feature Learning in Deep Neural Networks
Pennington, Jeffrey	Overparameterization improves robustness to covariate shift in high dimensions
Perez Avellaneda, Ivan	Reachability of Chen-Fliess series: A Gradient Descent Approach
Pernice, Francisco	On the Symmetries of the Deletion Channel
Pfrommer, Daniel	TaSIL: Taylor Series Imitation Learning
Pilanci, Mert	Secure Linear MDS Coded Matrix Inversion
Pimentel-Alarcon, Daniel	Classifying Incomplete Data with a Mixture of Subspace Experts Minimum-Length Trace Reconstruction via Integer Programming
Polyanskiy, Yury	Finite-Blocklength Results for the A-channel: Applications to Unsourced Random Access and Group Testing
Ponniah, Jonathan	On the Limits of Distributed Agreement between Correlated Sources
Poveda, Jorge I.	Momentum-Based Learning and Optimization Dynamics with Stochastic Restarting
Q
Qiu, Feng	Online detection of cascading change-points using diffusion networks
Qiu, Jiaze	The TAP free energy for high-dimensional linear regression with uniform spherical prior
Qu, Guannan	On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory
Qu, Qing	A Geometric Analysis of Neural Collapse with Unconstrained Features Robust Deep Image Prior with Partial Guidance
R
Rajaraman, Nived	Near-optimal algorithms for Imitation Learning
Rajaraman, Nived	Beyond UCB: statistical complexity and optimal algorithm for non-linear ridge bandits
Ramaswamy, Arunselvan	Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law
Ramchandran, Kannan	Near-optimal algorithms for Imitation Learning Beyond UCB: statistical complexity and optimal algorithm for non-linear ridge bandits
Ravishankar, Saiprasad	Robust Deep Image Prior with Partial Guidance
Redder, Adrian	Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law
Reeves, Galen	Low-rank matrix estimation with groupwise heteroskedasticity
Regatti, Jayanth	Byzantine Resilience With Reputation Scores
Ren, Zhaolin	Escaping saddle points in zeroth-order optimization: two function evaluations suffice Gradient play in stochastic games: stationary points, convergence, and sample complexity
Reyzin, Lev	An Interactive Search Game with Two Agents On Learning a Hidden Directed Graph with Path Queries
Rigollet, Philippe	On the sample complexity of entropic optimal transport
Rodríguez-Gálvez, Borja	An Information-Theoretic Analysis of Bayesian Reinforcement Learning
Roumy, Aline	Zero-error Coding for Computing with Encoder Side-information
Roy, Sandip	Model-Enhanced Localization of Forced Oscillation Using PMU Data
S
Sadler, Brian	Quickest Detection with Anticipatory and Quantum Decision Makers
Saltijeral, Carlos	Grassmannian packings: Trust region stochastic tuning for matrix incoherence
Sanghavi, Sujay	Ignoring Causality to Improve Ranking
Sarkar, Soumik	Distributed Online Non-convex Optimization with Composite Regret
Sattigeri, Prasanna	Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
Scaglione, Anna	Graph Convolutional Neural Networks for Control of Smart Inverters in Power Grids
Schniter, Philip	A Regularized Conditional GAN for Posterior Sampling in Inverse Problems
Scully, Ziv	Optimal Scheduling for Multi-Server Systems: Adversarial versus Stochastic Viewpoints
Seby, Jean-Baptiste	Equilibrium analysis of game on heterogeneous networks with coupled activities
Segal-Halevi, Erel	How to Charge Lightning: The Economics of Bitcoin Transaction Channels
Sen, Subhabrata	The TAP free energy for high-dimensional linear regression with uniform spherical prior Universality of High-Dimensional Estimation with Nearly Deterministic Sensing Matrices
Sha, Fei	Quickest Detection of the Change of Community via Stochastic Block Models
Shah, Sohil	Information provision to manage strategic agents over star networks - static and dynamic designs
Shakkottai, Sanjay	On representation learning with Model-Agnostic Meta-Learning
Shayovitz, Shachar	Active Learning for Individual Data via Minimal Stochastic Complexity
Shekhar, Raj	Opening the black box: deep-learned error-correcting codes
Sheldon, Paul	Achievable Rate Regions for the Gaussian Broadcast Channel with Fixed Blocklength and Per User Reliability
Shen, Maohao	Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
Shi, Yuanyuan	Stability and Safety Constrained Reinforcement Learning for Voltage Control
Shi, Yuyang	Efficient sequential UCB-based Hungarian algorithm for assignment problems
Shishika, Daigo	Ensuring the Defense of Paths and Perimeters in Dynamic Defender-Attacker Blotto Games (dDAB) on Graphs
Shroff, Ness	Understanding the generalization power of overfitted NTK models: 3-layer vs. 2-layer
Simchowitz, Max	Beyond No Regret: Instance-Dependent PAC Reinforcement Learning
Simpson-Porco, John	From Automatic Generation Control to Fast Frequency Control using Inverter-Based Resources
Singh, Manish Kumar	Optimal Primary- and Secondary-control Design for Grids with Generators and Inverters
Singhal, Shiksha	Pricing, competition and market segmentation in ride hailing
Sinopoli, Bruno	Identifying Influential Agents Via Faux Adversarial Games
Skoglund, Mikael	Uncertainty in Biometric Identification and Authentication Systems with Strong Secrecy An Information-Theoretic Analysis of Bayesian Reinforcement Learning
Smida, Besma	Achievable Rate Regions for the Gaussian Broadcast Channel with Fixed Blocklength and Per User Reliability
Snow, Luke	Quickest Detection with Anticipatory and Quantum Decision Makers
Sprintson, Alex	Multi-Message Private Information Retrieval: A Scalar Linear Solution Degree Tables for Private Information Retrieval
Steinerberger, Stefan	May the force be with you
Stromme, Austin	On the sample complexity of entropic optimal transport
Su, Lili	Global Convergence of Federated Learning for Mixed Regression
Subramanian, Vijay	Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure Learning-based Optimal Admission Control in a Single Server Queuing System
Szostak, Hadar	Decentralized Anomaly Detection via Deep Multi-Agent Reinforcement Learning
T
Tajer, Ali	Efficient SPRT-based Best Arm Identification in Stochastic Bandits
Tang, Jiacheng	A Survey of Dynamic Watermarking Algorithms and Some Recent Developments
Tang, Yuanyuan	Permutation Codes for Correcting a Burst of at Most $t$ Deletions
Taousser, Fatima	Approaches to Analysis of Power System Dynamics with High Penetration of Inverter Interfaced Devices
Tatli, Gokcan	Learning Preference Distributions From Distance Measurements
Taylor, Josh	Convex Optimization of Bioprocesses
Toghani, Mohammad Taha	Unbounded Gradients in Federated Leaning with Buffered Asynchronous Aggregation
Tomlin, Claire	Inverse Power Flow Problem
Tomsovic, Kevin	Approaches to Analysis of Power System Dynamics with High Penetration of Inverter Interfaced Devices
Tong, Lang	Storage Participation with State-of-Charge Dependent Offers and Bids: Market Clearing, Pricing, and Incentive Compatibility
Tong, Xinyi	On Sample Complexity of Learning Shared Representations: The Asymptotic Regime
Tooranjipour, Pouria	Risk-Aware Safe Optimal Control of Uncertain Linear Systems
Topcu, Ufuk	Alternating Direction Method of Multipliers for Decomposable Saddle-Point Problems Decentralized Online Influence Maximization Adversarial Examples for Model-Based Control: A Sensitivity Analysis
Touri, Behrouz	Random Adaptation Perspective to Distributed Computation
Tripuraneni, Nilesh	Overparameterization improves robustness to covariate shift in high dimensions
Tu, Stephen	TaSIL: Taylor Series Imitation Learning
Tuncel, Ertem	Trimmed Minimum Error Entropy for Robust Online Regression
Tuninetti, Daniella	Achievable Rate Regions for the Gaussian Broadcast Channel with Fixed Blocklength and Per User Reliability
Turan, Gyorgy	Opening the black box: deep-learned error-correcting codes
U
Ulukus, Sennur	ASUMAN: Age Sense Updating Multiple Access in Networks
Uribe, Cesar A.	Unbounded Gradients in Federated Leaning with Buffered Asynchronous Aggregation
V
Venkatesh, Praveen	Extracting Unique Information Through Markov Relations
Venkatramanan, D	Optimal Primary- and Secondary-control Design for Grids with Generators and Inverters
Verma, Ashwin	Random Adaptation Perspective to Distributed Computation
Vinayak, Ramya Korlakai	Learning Preference Distributions From Distance Measurements
W
Wachter-Zeh, Antonia	Covering Properties of Sum-Rank Metric Codes
Wagenmaker, Andrew	Beyond No Regret: Instance-Dependent PAC Reinforcement Learning
Walunj, Tushar Shankar	Pricing, competition and market segmentation in ride hailing
Wang, Ningze	Multi-Message Private Information Retrieval: A Scalar Linear Solution Degree Tables for Private Information Retrieval
Wang, Shi-Yuan	Controlled Sensing with Corrupted Commands
Wang, Shuche	Permutation Codes for Correcting a Burst of at Most $t$ Deletions
Wang, Weina	Maximizing Utilization in Large Systems Serving Jobs with Time-Varying Resource Requirements
Wang, Xiaodong	Data-Driven Sequential Change Detection in Privacy-Sensitive Networks
Wang, Yu Guang	Oversquashing in GNNs through the lens of information contraction and graph expansion
Wang, Yue	Policy Gradient Method For Robust Reinforcement Learning
Wang, Zhaoran	Is Pessimism Provably Efficient for Offline RL?
Weber, Steven	Throughput optimized random access channel assignment
Wei, Chen-Yu	Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure
Wei, Ermin	GRAND: A Gradient-Related Ascent and Descent Algorithmic Framework for Minimax Problems The Effects of Varying Charging Rates on Optimal Charging Station Choices for Electric Vehicles
Wei, Yeqi	Opening the black box: deep-learned error-correcting codes
Wein, Alexander	Detection-Recovery Gap for Planted Dense Cycles
Wierman, Adam	On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory
Wornell, Gregory	Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
Wu, Dan	Queueing Delay Minimization in Overloaded Networks via Rate Control
Wu, Tong	Graph Convolutional Neural Networks for Control of Smart Inverters in Power Grids
Wu, Xinyu	Queueing Delay Minimization in Overloaded Networks via Rate Control
Wu, Young	Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning
X
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