IOS2020: INFORMS OPTIMIZATION SOCIETY CONFERENCE 2020

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Abdelhadi, Abdelhakim	Developing a Mixed Integer Linear Program (MILP) to maximize material utilization and switch the setup from internal to external
Abdo, Firas	Developing a Mixed Integer Linear Program (MILP) to maximize material utilization and switch the setup from internal to external
Adams, Warren	Characterizing Linearizable QAPs by the Level-1 RLT
Agarwal, Deborah	Surrogate Optimization of Deep Neural Networks for Groundwater Predictions
Ahmadi, Amir Ali	Learning Dynamical Systems with Side Information On Local Minima of Cubic Polynomials
Ahmed, Shabbir	Scenario grouping and decomposition algorithms for chance-constrained programs
Alexeev, Yuri	Network Alignment by Propagating Reliable Similarities
Alghassi, Hedayat	Integer programming techniques for minor-embedding in quantum annealers
Alzalg, Baha	A Decomposition Interior-Point Algorithm for Stochastic Linear Optimization in a Hilbert Space
Anderson, Ross	Strong mixed-integer programming formulations for trained neural networks
Angulo, Gustavo	Subadditive Duality for Conic Mixed-Integer Programs
Applegate, David	First-order methods for large-scale linear programming
Argue, C.J.	On Sufficient and Necessary Conditions for Rank-One Generated Cones
Arora, Bhavna	Surrogate Optimization of Deep Neural Networks for Groundwater Predictions
Arrieta-Prieto, Mario	Data-driven optimization for wind farm siting Optimal location of last-mile consolidation areas to reduce environmental impact of urban deliveries of goods: a heuristic approach
Atamturk, Alper	Strong formulations for sparse regression On SDP formulations for quadratic optimization with indicator variables
Aybat, Serhat	Decentralized Computation of Effective Resistances for Distributed Learning
Aziz, Ahmed	Spatio-temporal forecasting for wind energy and its impact on wind farm operations
Azizan, Navid	The Role of Optimization Algorithms in Generalization of Deep Learning
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Babier, Aaron	Learning to optimize with hidden constraints
Balasubramanian, Krishnakumar	Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints, High-Dimensionality, and Saddle-Points
Bansal, Ankit	An Integer Column Generation Procedure for Coordinating Product Transitions in Semiconductor Manufacturing using Combinatorial Auctions
Bansal, Manish	A Sequential Sampling Method for Distributionally Robust Linear Programs Exact Algorithms for Lot-Sizing Problems with Multiple Capacities, Piecewise Concave Production Costs, and Subcontracting (Partial) Convex Hull for Deterministic and Stochastic Structured Conic Mixed Integer Sets using Conic Mixed Integer Rounding
Barah, Masoud	Developing an Efficient Exact Solution Approach for Scheduling Problems
Barr, Richard	Extreme-point Tabu Search Heuristic for Fixed-Charge Generalized Transshipment Problems
Bastani, Hamsa	Meta Dynamic Pricing: Learning Across Experiments
Bateni, Mohammad Hossein	Categorical Feature Compression via Submodular Optimization
Bayraksan, Güzin	Using Effective Scenarios to Accelerate Decomposition Algorithms for Two-stage Distributionally Robust Optimization with Total Variation Distance Data-driven sample average approximation with covariate information
Beach, Benjamin	Neural network approximations in quadratic optimization
Beck, Chris	A Combinatorial Cut-and-Lift Procedure with an Application to 0-1 Chance Constraints
Benson, Hande	In memory of Dave Shanno: Revisiting Quasi-Newton Methods
Bent, Russell	Distributionally Robust Transmission Grid under Geomagnetic Disturbances
Berahas, Albert Solomon	Scaling Up Quasi-Newton Algorithms: Communication Efficient Distributed SR1
Bergman, David	Template-based Minor Embedding for Adiabatic Quantum Optimization JANOS : An Integrated Predictive and Prescriptive Modeling Framework Optimization Algorithms for the Bin Packing Problem with Minimum Color Fragmentation Data-Driven Optimization for Team Formation On parametric decision diagrams Last mile scheduling under uncertainty Network Models for Multiobjective Discrete Optimization
Berktas, Nihal	Stochastic Team Formation Problem
Bernal, David	Integer programming techniques for minor-embedding in quantum annealers Sample Average Approximation for Stochastic Nonconvex Mixed Integer Nonlinear Programming via Outer Approximation
Bertsimas, Dimitris	A Unified Approach to Mixed-Integer Optimization: Nonlinear Formulations and Scalable Algorithms Sparse PCA under a conic optimization lens: MISDP reformulations and scalable SOCP bounds
Besik, Deniz	Global Supply Chain Networks and Tariff Rate Quotas: Equilibrium Analysis with Application to Agricultural Products
Bhuiyan, Tanveer Hossain	A Stochastic Programming Model with Endogenous and Exogenous Uncertainty for Reliable Network Design Under Random Disruption Estimating Wireless Mesh Network Vulnerability: A Search for the “Best” Interference Model
Bidkhori, Hoda	Optimization Under Uncertainty in Kidney Exchange
Bish, Douglas	Equity in Genetic Newborn Screening
Bish, Ebru	Equity in Genetic Newborn Screening
Blaszczyk, Pawel	Earned Value Measurement in Project Buffers Management
Bodin, Guilherme	Dualization and Bilevel optimization in JuMP
Bodur, Merve	Inverse Mixed-Integer Optimization with Trust-Region Methods Network Models for Multiobjective Discrete Optimization
Boginski, Vladimir	On Polyhedra of Two Influence Maximization Problems in Social Networks
Booth, Kyle E. C.	Integer programming techniques for minor-embedding in quantum annealers
Boumal, Nicolas	Near-optimal bounds for phase synchronization
Brooks, Paul	Approximating L1-Norm Best-Fit Lines and Extensions
Brooks, Philip	JANOS : An Integrated Predictive and Prescriptive Modeling Framework
Burana, Nipitta	University timetabling problem with requested instructor workload using constraint program
Burton, Amy	Conic Formulations for a Mean-Risk Stochastic Mixed Integer Nonlinear Program with Applications to Network Protection
Buyuktahtakin Toy, Esra	Incentivizing Homeowners for Tree Management using a Principal-Agent Game-Theoretical Approach
Bynum, Michael	Decomposing Optimization-Based Bounds Tightening Problems Via Graph Partitioning
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Cai, Wenbo	Incentivizing Homeowners for Tree Management using a Principal-Agent Game-Theoretical Approach
Camur, Mustafa	The Star Degree Centrality Problem: A Benders Decomposition Approach
Can, Bugra	Decentralized Computation of Effective Resistances for Distributed Learning
Can, Melike Hazal	Improving Operating Room Scheduling: Integer and Constraint Programming Approaches
Cardonha, Carlos	Optimization Algorithms for the Bin Packing Problem with Minimum Color Fragmentation Network Models for Multiobjective Discrete Optimization
Castillo, Anya	Decomposing Optimization-Based Bounds Tightening Problems Via Graph Partitioning
Castro, Margarita	A Combinatorial Cut-and-Lift Procedure with an Application to 0-1 Chance Constraints
Cevik, Mucahit	Data-driven optimization of supplemental screening usage in breast cancer detection
Chan, Timothy	Learning to optimize with hidden constraints Inverse Mixed-Integer Optimization with Trust-Region Methods
Chandra, Ashish	An MINLP approach to bounding probability with applications to Network routing
Chattopadhyay, Manojit	Solving Multi-Objective Combinatorial Cell Formation Problem: A Two-Step Approach Using A Distance Function and A Genetic Algorithm
Chaudhuri, Barnali	Solving Multi-Objective Combinatorial Cell Formation Problem: A Two-Step Approach Using A Distance Function and A Genetic Algorithm
Chen, Chen	Incentivizing Homeowners for Tree Management using a Principal-Agent Game-Theoretical Approach
Chen, Cheng-Lung	On Polyhedra of Two Influence Maximization Problems in Social Networks
Chen, Lin	Categorical Feature Compression via Submodular Optimization
Chen, Rui	Cardinality Constrained Multilinear Sets
Chen, Run	Distributed Algorithms for Multi-Scale Capacity Expansion Problems in Power Systems
Chen, Shixiang	Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods
Chen, Xin	Biased Stochastic Approximation for Conditional Stochastic Optimization M-natural-convexity and its applications in operations Sample Complexity of Sample Average Approximation for Conditional Stochastic Optimization
Chen, Xinyun	Online Learning in Service Systems: Optimal Pricing And Capacity Sizing For A G/G/1 Queue With Demand Learning
Chen, Yuxin	Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data
Cheung, Wang Chi	Reinforcement Learning under Drift: The Blessing of (More) Optimism
Chi, Yuejie	Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution
Chowdhury, Mashrur	Centralities for Networks with Consumable Resources
Cire, Andre Augusto	A Combinatorial Cut-and-Lift Procedure with an Application to 0-1 Chance Constraints Adaptive Approximate Linear Programs based on Index Networks for Solving Weakly-coupled Dynamic Programs On parametric decision diagrams Network Models for Multiobjective Discrete Optimization
Coey, Christopher	Dualization and Bilevel optimization in JuMP Hypatia: Generic Nonsymmetric Conic Optimization in Julia
Coey, Christopher	Hypatia: formulations, linear algebra, and preliminary computational results
Coffrin, Carleton	The Potential of Quantum Annealing for Rapid Solution Structure Identification
Cohn, Amy	A distributionally robust optimization approach for outpatient colonoscopy scheduling
Contardo, Claudio	A Progressive approximation approach for the exact solution of sparse large-scale binary interdiction games
Copenhaver, Martin	Machine Learning to Address Hospital Capacity: Predicting Discharges and Identifying Barriers to Discharge
Cory-Wright, Ryan	A Unified Approach to Mixed-Integer Optimization: Nonlinear Formulations and Scalable Algorithms Sparse PCA under a conic optimization lens: MISDP reformulations and scalable SOCP bounds
Cui, Ying	Computing the Projection onto the Degenerate Doubly Nonnegative Cone
Curry, Robert	Integer Programming Methods to Alleviate Human Trafficking in Maritime Settings
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Dash, Sanjeeb	Boolean Decision Rules via Column Generation Cardinality Constrained Multilinear Sets
Daskin, Mark	Adaptive Pharmaceutical Supply Chain Design under Disruption and its Effects on Drug Shortages
Davarnia, Danial	Achieving Consistency with Cutting Planes
Deakins, Ethan	Exploiting symmetry in linear programming
Dedieu, Antoine	Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives
Delshad, Saeid	Personalized Dose Finding Trials
Deng, Yan	Scenario grouping and decomposition algorithms for chance-constrained programs
Deng, Zengde	Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods
Diamant, Adam	Learning to optimize with hidden constraints
Dias Garcia, Joaquim	Data driven stochastic optimization applied to renewable energy penetration in power systems
Diaz, Mateo	Composite optimization for blind deconvolution Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence
Dickerson, John P.	Optimization Under Uncertainty in Kidney Exchange Optimal Active Preference Elicitation via Adjustable Robust Optimization
Ding, Tian	On the Benefit of Width for Neural Networks: Disappearance of Basins
Dong, Chaosheng	Wasserstein Distributionally Robust Inverse Multiobjective Optimization
Downward, Anthony	Bi-objective multistage stochastic linear programming
Dowson, Oscar	Partially observable multistage stochastic programming Bi-objective multistage stochastic linear programming
Dridi, Raouf	Integer programming techniques for minor-embedding in quantum annealers
Dula, Jose	Approximating L1-Norm Best-Fit Lines and Extensions
Dunn, Peter	Machine Learning to Address Hospital Capacity: Predicting Discharges and Identifying Barriers to Discharge
Duque, Daniel	Distributionally Robust Stochastic Dual Dynamic Programming
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Eckstein, Jonathan	Powerful Operator Splitting with Projective Splitting In Memory of Dave Shanno: Objective Bounds from ADMM Algorithms
Eksioglu, Burak	Dynamic Tuberculosis Screening for Healthcare Employees
El Hajj, Hussein	Equity in Genetic Newborn Screening
El Khadir, Bachir	Learning Dynamical Systems with Side Information
El Shar, Ibrahim	Lookahead-bounded Q-learning
El Tonbari, Mohamed	Data-Driven Two-Stage Conic Optimization with Rare High-Impact Zero-One Uncertainties
Emirhuseyinoglu, Gorkem	A stochastic mixed integer linear program for agricultural land use optimization
Escobedo, Adolfo	Path-based Valid Inequalities for DC Power Systems with Discrete Transmission Considerations Ranking-based Facet Defining Inequalities for the Weak Order Polytope
Esfandiari, Hossein	Categorical Feature Compression via Submodular Optimization
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Fan, Jianqing	Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data
Faybishenko, Boris	Surrogate Optimization of Deep Neural Networks for Groundwater Predictions
Fioretto, Ferdinando	Integrated Learning and Optimization for AC-OPF
Flynn, Thomas	Convergent variants of gradient descent for neural networks
Forrester, Richard	A Heuristic and Exact Solution Approach for the 0-1 Cubic Knapsack Problem
Fu, Thomas	Categorical Feature Compression via Submodular Optimization
Fukuda, Mituhiro	New Bregman proximal type algorithms for solving DC optimization problems
Fulginiti, Anthony	Exploring Algorithmic Fairness in Robust Graph Covering Problems
Furman, Kevin	Sample Average Approximation for Stochastic Nonconvex Mixed Integer Nonlinear Programming via Outer Approximation
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Gan, Kyra	Causal Inference with Selectively-Deconfounded Data
Gangammanavar, Harsha	A Sequential Sampling Method for Distributionally Robust Linear Programs Stochastic Dynamic Linear Programming and its Application
Garcia, Joaquim	Dualization and Bilevel optimization in JuMP
Gasnikov, Alexander	A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks
Gentili, Monica	Interval Linear Programming with an Additional Function of Interest: Computational Complexity, Reformulations, and Heuristics The Outcome Range Problem in Interval Linear Programming
Georghiou, Angelos	Robust Optimization with Decision-Dependent Information Discovery
Ghadimi, Saeed	Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints, High-Dimensionality, and Saddle-Points
Ghate, Archis	Inverse Markov decision process with unknown transition probabilities Data-Driven Robust MDPs Using Distance-Based Ambiguity Sets
Ghatrani, Zahra	Inverse Markov decision process with unknown transition probabilities
Goldfarb, Donald	Reflections on Dave Shanno
Gomez, Andres	Strong formulations for sparse regression Outlier detection in time series via mixed-integer conic quadratic optimization On the convexification of constrained quadratic optimization problems with indicator variables On SDP formulations for quadratic optimization with indicator variables
Gorka, Artur	Control and tolerance two-sided interval linear programming problems
Grimmer, Benjamin	Radial Duality
Griva, Igor	In Memory of Dave Shanno: making an interior-point method for NLP converge
Grossmann, Ignacio	Sample Average Approximation for Stochastic Nonconvex Mixed Integer Nonlinear Programming via Outer Approximation
Gunluk, Oktay	Boolean Decision Rules via Column Generation Cardinality Constrained Multilinear Sets
Gupta, Diwakar	Robust Optimization with Order Statistic Uncertainty Set
Gupta, Swati	Electrical Flows over Spanning Trees Impact of Bias on Hiring Decisions
Gupte, Akshay	Conic Formulations for a Mean-Risk Stochastic Mixed Integer Nonlinear Program with Applications to Network Protection
Gurbuzbalaban, Mert	Decentralized Computation of Effective Resistances for Distributed Learning
Gutman, David	Coordinate Descent Without Coordinates: Tangent Subspace Descent on Riemannian Manifolds
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Haight, Robert G.	Incentivizing Homeowners for Tree Management using a Principal-Agent Game-Theoretical Approach
Han, Shaoning	On SDP formulations for quadratic optimization with indicator variables
Hassibi, Babak	The Role of Optimization Algorithms in Generalization of Deep Learning
Hazimeh, Hussein	Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives Sparse Regression with Interactions: A Scalable Integer Programming Approach
He, Niao	Biased Stochastic Approximation for Conditional Stochastic Optimization Sample Complexity of Sample Average Approximation for Conditional Stochastic Optimization Learning Positive-Valued Functions with Pseudo Mirror Descent
Henry, Christopher	Network Alignment by Propagating Reliable Similarities
Hijazi, Amira	Mean-Risk Two-Stage Vaccine Allocation Under Uncertainty
Hildebrand, Robert	Neural network approximations in quadratic optimization
Hinder, Oliver	First-order methods for large-scale linear programming
Hladik, Milan	Interval Linear Programming with an Additional Function of Interest: Computational Complexity, Reformulations, and Heuristics
Ho-Nguyen, Nam	Risk Guarantees For End-to-end Prediction and Optimization Processes Coordinate Descent Without Coordinates: Tangent Subspace Descent on Riemannian Manifolds
Homem-De-Mello, Tito	A Data-Driven Approach for a Class of Stochastic Dynamic Optimization Problems
Hooker, John	Last mile scheduling under uncertainty Achieving Consistency with Cutting Planes
Hopp, Wallace	Adaptive Pharmaceutical Supply Chain Design under Disruption and its Effects on Drug Shortages
Hu, Yifan	Biased Stochastic Approximation for Conditional Stochastic Optimization Sample Complexity of Sample Average Approximation for Conditional Stochastic Optimization
Huang, Teng	Template-based Minor Embedding for Adiabatic Quantum Optimization JANOS : An Integrated Predictive and Prescriptive Modeling Framework Data-Driven Optimization for Team Formation
Huchette, Joey	Strong mixed-integer programming formulations for trained neural networks Neural network approximations in quadratic optimization
Hussain, Syed Abou Iltaf	Bi-Objective Firefly Optimization Algorithm for n-Stage Parallel Machine Scheduling
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Isik, Tugce	Dynamic Tuberculosis Screening for Healthcare Employees
Ismael, Abdelrahman	Optimal location of last-mile consolidation areas to reduce environmental impact of urban deliveries of goods: a heuristic approach
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Jacobson, Sheldon	Multilevel algorithms for geographical districting problems
Jahani, Majid	Scaling Up Quasi-Newton Algorithms: Communication Efficient Distributed SR1
Jana, Rabin	Maximizing the total pleasure from a personalized day tour Solving Multi-Objective Combinatorial Cell Formation Problem: A Two-Step Approach Using A Distance Function and A Genetic Algorithm
Jia, Huiwen	Benders Cut Classification via Support Vector Machines for Solving Two-stage Stochastic Programs Scenario grouping and decomposition algorithms for chance-constrained programs
Jia, Su	Optimal Decision Tree with Noisy Outcomes
Jiang, Daniel	Lookahead-bounded Q-learning
Jiang, Ruiwei	Nurse Staffing under Absenteeism: A Distributionally Robust Optimization Approach Data-Driven Distributionally Robust Appointment Scheduling A distributionally robust optimization approach for outpatient colonoscopy scheduling
Jin, Chi	Near-Optimal Algorithms for Smooth Convex-Concave Minimax Optimization and Beyond
Johnstone, Patrick	Powerful Operator Splitting with Projective Splitting
Jordan, Michael	Near-Optimal Algorithms for Smooth Convex-Concave Minimax Optimization and Beyond
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Kallus, Nathan	Safely Learning to Personalize from Sequential Observational Data
Kannan, Rohit	Stochastic DC Optimal Power Flow With Reserve Saturation
Kannan, Rohit	Data-driven sample average approximation with covariate information
Kapelevich, Lea	Hypatia: Generic Nonsymmetric Conic Optimization in Julia Hypatia: formulations, linear algebra, and preliminary computational results
Kempf, Karl	An Integer Column Generation Procedure for Coordinating Product Transitions in Semiconductor Manufacturing using Combinatorial Auctions
Khademi, Amin	Personalized Dose Finding Trials
Khan, Zadid	Centralities for Networks with Consumable Resources
Khaniyev, Taghi	Machine Learning to Address Hospital Capacity: Predicting Discharges and Identifying Barriers to Discharge
Khodabhaksh, Ali	Electrical Flows over Spanning Trees
Khorramfar, Rahman	A bilevel programming model for coordinating product transitions Subtree Decomposition Method For Multistage Stochastic Programs
Kiani, Mahsa	Dynamic Tuberculosis Screening for Healthcare Employees
Kim, Kibaek	Data-Driven Two-Stage Conic Optimization with Rare High-Impact Zero-One Uncertainties
King, Douglas	Multilevel algorithms for geographical districting problems
Kiyavash, Negar	Learning Positive-Valued Functions with Pseudo Mirror Descent
Knueven, Bernard	Advances in Scalable Open Source Software for Parallel Stochastic Programming Exploiting almost identical generators in unit commitment Exploiting symmetry in linear programming Decomposing Optimization-Based Bounds Tightening Problems Via Graph Partitioning
Kocuk, Burak	Subadditive Duality for Conic Mixed-Integer Programs
Kreber, Dennis	A mixed-integer optimization approach for exhaustive cross-validated model selection
Kulkarni, Kartik	Exact Algorithms for Lot-Sizing Problems with Multiple Capacities, Piecewise Concave Production Costs, and Subcontracting
Kumar, Abhinav	Lossless Compression of Deep Neural Networks
Küçükyavuz, Simge	Joint chance-constrained programs and the intersection of mixing sets through a submodularity lens On the convexification of constrained quadratic optimization problems with indicator variables
Kılınç-Karzan, Fatma	On Sufficient and Necessary Conditions for Rank-One Generated Cones On the tightness of SDP relaxations of QCQPs Joint chance-constrained programs and the intersection of mixing sets through a submodularity lens Risk Guarantees For End-to-end Prediction and Optimization Processes
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Laird, Carl	Decomposing Optimization-Based Bounds Tightening Problems Via Graph Partitioning
Lale, Sahin	The Role of Optimization Algorithms in Generalization of Deep Learning
Lan, George	Complexity of stochastic dual dynamic programming
Larson, Jeffrey	Multistart Methods for Quantum Approximate Optimization
Lee, Dabeen	Joint chance-constrained programs and the intersection of mixing sets through a submodularity lens
Lee, Eva	Precision Heparin Dosing using Mixed Integer Optimization
Lee, Jon	Scenario grouping and decomposition algorithms for chance-constrained programs Aspects of maximum-entropy sampling Volumetric Analysis of Perspective Reformulations
Lee, Soomin	A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks
Leela-Apiradee, Worrawate	Control and tolerance two-sided interval linear programming problems
Legat, Benoît	Dualization and Bilevel optimization in JuMP
Leskovskaya, Angelika	Extreme-point Tabu Search Heuristic for Fixed-Charge Generalized Transshipment Problems
Levi, Retsef	Machine Learning to Address Hospital Capacity: Predicting Discharges and Identifying Barriers to Discharge
Li, Andrew	Causal Inference with Selectively-Deconfounded Data
Li, Can	Sample Average Approximation for Stochastic Nonconvex Mixed Integer Nonlinear Programming via Outer Approximation
Li, Dawei	On the Benefit of Width for Neural Networks: Disappearance of Basins
Li, Guangyu	Coupled Learning Enabled Stochastic Programming with Endogenous Uncertainty
Li, Menglong	M-natural-convexity and its applications in operations
Li, Xiao	Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods
Li, Yongchun	Approximation Algorithms for the Maximum Entropy Sampling Problem
Lin, Qihang	Level-Set Method for Convex Constrained Optimization with Error Bound Conditions Learning Interpretable Policies for Markov Decision Process by Hybrid Linear-Black-Box Model Self-guided Approximate Linear Programs A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints
Lin, Tianyi	Near-Optimal Algorithms for Smooth Convex-Concave Minimax Optimization and Beyond
Lipton, Zachary	Causal Inference with Selectively-Deconfounded Data
Liu, Andrew	Distributed Algorithms for Multi-Scale Capacity Expansion Problems in Power Systems
Liu, Hongcheng	Provable Generalizability of Deep Neural Networks under Sparsity-Inducing Regularization
Liu, Junyi	Coupled Learning Enabled Stochastic Programming with Endogenous Uncertainty
Liu, Shixin	A Study on the Block Relocation Problem: Lower Bound Derivations and Strong Formulations
Liu, Xiaoyuan	On Modeling Local Search with Special-Purpose Combinatorial Optimization Hardware
Liu, Xiaoyuan	Network Alignment by Propagating Reliable Similarities
Liu, Yanli	Acceleration of Primal-Dual Methods by Preconditioning and Simple Subproblem Procedures
Liu, Yunan	Online Learning in Service Systems: Optimal Pricing And Capacity Sizing For A G/G/1 Queue With Demand Learning
Lodi, Andrea	JANOS : An Integrated Predictive and Prescriptive Modeling Framework Disjunctive cuts for Mixed-Integer Conic Optimization
Lokhov, Andrey	The Potential of Quantum Annealing for Rapid Solution Structure Identification
Lozano, Leonardo	On parametric decision diagrams
Lu, Chao	A Study on the Block Relocation Problem: Lower Bound Derivations and Strong Formulations
Lu, Haihao	An $O(s^r)$-Resolution ODE Framework for Discrete-Time Optimization Algorithms and Applications to Convex-Concave Saddle-Point Problems First-order methods for large-scale linear programming
Lu, Mengshi	On the Values of Vehicle-to-Grid Electricity Selling in Electric Vehicle Sharing
Lubin, Miles	First-order methods for large-scale linear programming
Luedtke, Jim	Stochastic DC Optimal Power Flow With Reserve Saturation Data-driven sample average approximation with covariate information
Luo, Siwei	Strong contraction mapping and topological non-convex optimization
Lustig, Irv	The RIP Technique for Box Configuration for Birchbox In Memory of Dave Shanno: the History of OB1
Löschenbrand, Markus	Comparing model-free and model-based methods for multistage stochastic programming
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Ma, Cong	Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data
Ma, Runchao	Level-Set Method for Convex Constrained Optimization with Error Bound Conditions
Ma, Will	The Competitive Ratio of Threshold Policies for Online Unit-density Knapsack Problems Strong mixed-integer programming formulations for trained neural networks
Mahmood, Rafid	Learning to optimize with hidden constraints
Mak, Terrence	Integrated Learning and Optimization for AC-OPF
Mandal, Avradip	On Modeling Local Search with Special-Purpose Combinatorial Optimization Hardware
Mandal, Uttam Kumar	Bi-Objective Firefly Optimization Algorithm for n-Stage Parallel Machine Scheduling
Margolis, Joshua	A multi-vehicle covering tour problem with speed optimization
Marsten, Roy	In memory of Dave Shanno: from optimization to machine learning, it’s all the same data
Mason, Scott	A multi-vehicle covering tour problem with speed optimization
Mathieu, John	Data-Driven Optimization for Team Formation
Mazumder, Rahul	Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives Sparse Regression with Interactions: A Scalable Integer Programming Approach
Mcelfresh, Duncan	Optimization Under Uncertainty in Kidney Exchange Optimal Active Preference Elicitation via Adjustable Robust Optimization
Medal, Hugh	A Stochastic Programming Model with Endogenous and Exogenous Uncertainty for Reliable Network Design Under Random Disruption Estimating Wireless Mesh Network Vulnerability: A Search for the “Best” Interference Model
Mehrani, Saharnaz	Robust Assortment Optimization under Product Unavailability Optimization Algorithms for the Bin Packing Problem with Minimum Color Fragmentation
Menache, Ishai	Dynamic Resource Allocation in the Cloud with Near-Optimal Efficiency
Mildebrath, David	Advances in Scalable Open Source Software for Parallel Stochastic Programming
Miller, Jamie	Integer Programming Methods to Alleviate Human Trafficking in Maritime Settings
Mintz, Yonatan	Precision Heparin Dosing using Mixed Integer Optimization
Mirrokni, Vahab	Categorical Feature Compression via Submodular Optimization
Misra, Sidhant	A Reserve Scheduling Framework for Uncertainty Management in Power Systems and Gas Pipelines
Mitchell, John	Optimal location of last-mile consolidation areas to reduce environmental impact of urban deliveries of goods: a heuristic approach
Moghrabi, Issam	New Multi-Step Conjugate Gradient Method for Optimization
Mohammadi, Mohsen	Interval Linear Programming with an Additional Function of Interest: Computational Complexity, Reformulations, and Heuristics The Outcome Range Problem in Interval Linear Programming
Moran, Diego	Subadditive Duality for Conic Mixed-Integer Programs
Mortagy, Hassan	Electrical Flows over Spanning Trees
Morton, David	Partially observable multistage stochastic programming Bi-objective multistage stochastic linear programming Distributionally Robust Stochastic Dual Dynamic Programming
Mueller, Juliane	Surrogate Optimization of Deep Neural Networks for Groundwater Predictions
Muir, Chris	Advances in Scalable Open Source Software for Parallel Stochastic Programming Exploiting Multiple Optimal Solutions in Independent Set
Muir, Christopher	A Model of the Online Independent Set Problem
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Nadarajah, Selva	Level-Set Method for Convex Constrained Optimization with Error Bound Conditions Self-guided Approximate Linear Programs A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints Adaptive Approximate Linear Programs based on Index Networks for Solving Weakly-coupled Dynamic Programs
Nagarajan, Harsha	Distributionally Robust Transmission Grid under Geomagnetic Disturbances Optimal Power Flow in Distribution Networks under Stochastic N-1 Disruptions
Nagarajan, Viswanath	Optimal Decision Tree with Noisy Outcomes
Nagurney, Anna	Global Supply Chain Networks and Tariff Rate Quotas: Equilibrium Analysis with Application to Agricultural Products
Nagurney, Ladimer	Global Supply Chain Networks and Tariff Rate Quotas: Equilibrium Analysis with Application to Agricultural Products
Navidi, Fatemeh	Optimal Decision Tree with Noisy Outcomes
Nazari, Reza	Scaling Up Quasi-Newton Algorithms: Communication Efficient Distributed SR1
Nedich, Angelia	A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks
Neely, Michael J.	Online Primal-Dual Mirror Descent under Stochastic Constraints
Nguyen, Di	Network Interdiction with Asymmetric Cost Uncertainty
Nikolova, Evdokia	Electrical Flows over Spanning Trees
Nohra, Carlos	Spectral relaxations and branching for MIQPs
Noyan, Nilay	Stochastic Team Formation Problem
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O'Donoghue‎, Brendan	First-order methods for large-scale linear programming
O'Neill, Michael	A Line-Search Descent Algorithm for Strict Saddle Functions with Complexity Guarantees
Ostrowski, Jim	Developing an Efficient Exact Solution Approach for Scheduling Problems Exploiting almost identical generators in unit commitment Exploiting symmetry in linear programming Exploiting Multiple Optimal Solutions in Independent Set
Ouyang, Yuyuan	Sliding Linearized ADMM For Convex Smooth Optimization With Affine Constraints
Ozaltin, Osman	A bilevel programming model for coordinating product transitions Mean-Risk Two-Stage Vaccine Allocation Under Uncertainty Subtree Decomposition Method For Multistage Stochastic Programs An Integer Column Generation Procedure for Coordinating Product Transitions in Semiconductor Manufacturing using Combinatorial Auctions
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Padman, Rema	A Distributionally Robust Optimization Approach for Stochastic Elective Surgery Scheduling with Limited ICU Capacity
Pagnoncelli, Bernardo	Partially observable multistage stochastic programming
Pakiman, Parshan	Self-guided Approximate Linear Programs
Pang, Yuchen	The Potential of Quantum Annealing for Rapid Solution Structure Identification
Pangia, Andrew	An Algorithm for Parametric Quadratically Constrained Quadratic Programs
Papadimitriou, Dimitri	Nonlinear Regularization for Neural Networks
Papazaharias, Demetrios V.	A Branch-and-Cut Approach For Simple Graph Partitioning on Sparse Graphs
Park, Jangho	Surrogate Optimization of Deep Neural Networks for Groundwater Predictions
Pataki, Gabor	Weak infeasibility in semidefinite programming: a complete characterization and generating all instances
Pauphilet, Jean	A Unified Approach to Mixed-Integer Optimization: Nonlinear Formulations and Scalable Algorithms
Perez-Salazar, Sebastian	Dynamic Resource Allocation in the Cloud with Near-Optimal Efficiency
Powell, Warren	Tutorial: A Unified Framework for Sequential Decisions under Uncertainty
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Qiu, Feng	Learning-Enhanced Integer Programming: A Hybrid Approach for Routinely Solved Discrete Optimization
Qiu, Zirou	Network Alignment by Propagating Reliable Similarities
Qu, Qing	Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods
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