IOS2022: INFORMS OPTIMIZATION SOCIETY CONFERENCE 2022

A
Adelman, Dan	Algorithms for Optimal Genetic Testing of Families
Agarwal, Puneet	Managing Misinformation on Social Media during Disasters: Machine Learning and Game-Theoretic Approaches
Aghaei, Sina	Optimal Robust Classification Trees
Ahanor, Izuwa	Stochastic approximate cutting plane algorithms for continuous DR-submodular Maximization Algorithms for Computing Diverse Sets of Near-Optimal Solutions to Mixed-Integer Optimization Problems
Ahmed, Shabbir	On the Value of Multistage Stochastic Facility Location with Risk Aversion
Ahn, Miju	Generalized ADMM Framework for Non-overlapping Group Selection
Akbari, Sina	Exact Formulation and Partitioning of the General Rank Aggregation Problem Approximate Condorcet Partitioning: Solving Very Large Rank Aggregation Problems at Scale
Al Aziz, Ridwan	Managing Misinformation on Social Media during Disasters: Machine Learning and Game-Theoretic Approaches
Al-Thani, Hessa	Tridiagonal Maximum-Entropy Sampling and Tridiagonal Masks
Alacaoglu, Ahmet	On the Complexity of a Practical Primal-Dual Coordinate Method
Alameda, Joseph	Optimizing Cooperative Interdependent Attack Graphs to compromise cyberinfrastructures Maximizing Node Activation Network Flow Problems under Non-simultaneous Flow Assumptions
Albert, Laura	A bi-objective covering tour problem to locate ballot drop boxes
Alkaabneh, Faisal	Routing and resource allocation in non-profit settings with equity and efficiency measures under demand uncertainty
Alston, Brandon	Mixed Integer Linear Optimization Formulations for Learning Optimal Binary Classification Trees
Amin, Saurabh	Network Interdiction Games with Heterogeneous Transportation and Interdiction Costs
Anitescu, Mihai	A Globally Convergent Distributed Jacobi Scheme for Block-Structured Nonconvex Constrained Optimization Problems
Applegate, David	Faster First-Order Primal-Dual Methods for Linear Programming using Restarts and Sharpness
Arora, Rohit	Data-driven Multistage Distributionally Robust Optimization
Arslan, Nazlican	Distributionally Robust Two-Stage Convex Quadratic Programming
Asi, Hilal	Private optimization in the interpolation regime: faster rates and hardness results
Aswani, Anil	Nonnegative Tensor Completion Via Integer Optimization
Atamturk, Alper	On the convex hull of convex quadratic optimization with indicators
Auad, Ramon	Resiliency of on-demand multimodal transit systems during a pandemic
B
Balasubramanian, Krishna	Stochastic Zeroth-order Riemannian Derivative Estimation and Optimization
Ball, Michael	Quantity-Contingent Auctions and Allocation of Airport Slots
Balzano, Laura	Algorithms for Nonconvex Probabilistic PCA for Data With Heteroscedastic Noise
Bandi, Chaithanya	On Finite Adaptability in Two-stage Distributionally Robust Optimization
Banerjee, Siddhartha	Plan Your System and Price for Free: Fast Algorithms for Multimodal Transit Operations
Bansal, Manish	Multi-Module Capacitated Lot-Sizing Problem, and its Generalizations with Two-Echelons and Piecewise Concave Production Costs Distributionally risk-receptive and risk-averse network interdiction problems with general ambiguity set
Barazandeh, Babak	Nonconvex-Nonconcave Min-Max Optimization with a Small Maximization Domain
Basciftci, Beste	Iterative Approaches for Integrating Rider Behavior into the Design of Large-Scale On-Demand Multimodal Transit Systems Joint Chance-Constrained Predictive Generation and Line Maintenance Planning with Operations Scheduling under Sensor-Driven Failure Uncertainty
Bastidas, Benjamín	Improving Microgrid Energy Management with storage via Stochastic Optimization and Machine Learning
Basu, Saugata	On the analytic reparametrization of the central path of semidefinite optimization
Bates, Dan	Maximizing Node Activation Network Flow Problems under Non-simultaneous Flow Assumptions
Baxter, Arden	Best Response Intersection: An Optimal Algorithm for Interdiction Defense
Bayraksan, Guzin	Effective scenarios in Two-stage DRO: properties and acceleration of decomposition algorithms
Behdin, Kayhan	Sparse PCA: A New Scalable Estimator Based On Integer Programming
Benjaafar, Saif	Pricing in On-Demand (and One-Way) Vehicle Sharing Networks
Bennouna, Amine	Learning and Decision-Making with Data : Optimal Formulations and Phase Transitions Optimal Data-Driven Optimization with Noisy Data
Benson, Hande	Regularized Step Directions in Conjugate Gradient Minimization Motion Planning for Drone Fleets using MINLP
Berahas, Albert	Accelerating Stochastic Sequential Quadratic Programming for Equality Constrained Stochastic Optimization using Predictive Variance Reduction Analysis of Line Search and Trust Region Methods with Noise
Berahas, Albert	SQP Methods for Nonlinear Equality Constrained Stochastic Optimization
Bertsimas, Dimitris	A new perspective on low-rank optimization
Bertsimas, Dimitris	The backbone method for ultra-high dimensional sparse machine learning
Bien, Jacob	Sparse Multivariate Mixture of Experts for analyzing Marine Microbial Systems
Bloom, Jeremy	MOSDEX: Proposal for A New Standard for Data Exchange with Optimization Solvers
Bodur, Merve	Stochastic lot-sizing with substitution and service level constraints Markov chain-based policies for multi-stage stochastic integer linear programming with an application to disaster relief logistics Copositive Duality for Discrete Markets and Games Tightening Quadratic Convex Relaxations for the AC Optimal Transmission Switching Problem
Bollapragada, Raghu	Derivative-Free Optimization via Adaptive Sampling Strategies Retrospective Approximation For Smooth Stochastic Approximation
Boob, Digvijay	Optimal Algorithms for Differentially Private Monotone Stochastic Variational Inequalities
Bragin, Mikhail	Stochastic Job-Shop Scheduling: Implications on Supply-Chain Operations under Uncertainty Toward Linear Convergence for Non-Smooth Optimization: Implications for Discrete Optimization Problems
Bragin, Mikhail	Enhancing the Small-Signal Stability of Islanded Microgrids under Droop Control
Bugg, Caleb	Nonnegative Tensor Completion Via Integer Optimization
Burton, Amy	Using Multicriteria Optimization and Simulated Annealing to Construct Political Districts
Bushaj, Sabah	A Risk-Averse Multi-stage Stochastic Optimization Approach to the EAB Epidemic Problem in the US Forests A Deep Reinforcement Learning Approach to Solving the Multidimensional Knapsack Problem
Buyuktahtakin, Esra	A Risk-Averse Multi-stage Stochastic Optimization Approach to the EAB Epidemic Problem in the US Forests A Deep Reinforcement Learning Approach to Solving the Multidimensional Knapsack Problem
C
Cao, Liyuan	Analysis of Line Search and Trust Region Methods with Noise
Cape, Mattias Rolfe	Sparse Multivariate Mixture of Experts for analyzing Marine Microbial Systems
Carrasco, Rodrigo	Energy Storage Management Strategies under Uncertain Generation Improving Microgrid Energy Management with storage via Stochastic Optimization and Machine Learning
Castro, Margarita	Markov chain-based policies for multi-stage stochastic integer linear programming with an application to disaster relief logistics
Cevher, Volkan	On the Complexity of a Practical Primal-Dual Coordinate Method
Chadha, Karan	Private optimization in the interpolation regime: faster rates and hardness results
Chai, Zheng	Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework
Chandrasekher, Kabir	Sharp convergence guarantees for iterative algorithms in random optimization problems
Charisopoulos, Vasileios	A superlinearly convergent subgradient method for sharp semismooth problems
Chen, Chen	Nonnegative Tensor Completion Via Integer Optimization
Chen, Feng	Bi-level Optimization for Robust and Efficient Learning
Chen, Guyi	A global optimization framework with machine learning models to inform early termination
Chen, Jie	Distributed stochastic inertial-accelerated methods with delayed derivatives for nonconvex problems
Chen, Louis	Rockafellian Relaxation in Optimization under Uncertainty: Consistent Alternatives to Robust Formulations
Chen, Pin-Yu	First and zeroth-order methods for constrained nonconvex optimization
Chen, Rui	On Generating Lagrangian Cuts for Two-Stage Stochastic Integer Programs Integer Programming for Causal Structure Learning in the Presence of Latent Variables
Chen, Yi-Chun	Column-Randomized Linear Programs: Performance Guarantees and Applications
Chen, Yudong	Algorithmic Regularization in Model-free Overparametrized Matrix Factorization
Chen, Yuxin	Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data
Chen, Zhongzhu	On computing with some convex relaxations for the maximum-entropy sampling problem
Cheng, Gary	Private optimization in the interpolation regime: faster rates and hardness results
Cheng, Yue	Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework
Cho, Lucky	Integer Programming Methods to Identify Nash Equilibrium Solutions for Platform Based Scheduling Games
Cokyasar, Taner	Joint Routing of Conventional and Range-Extended Electric Vehicles in a Large Metropolitan Network
Cory-Wright, Ryan	A new perspective on low-rank optimization
Costa, Giorgio	Distributionally Robust End-to-End Portfolio Construction
Cui, Ying	Comparing Solution Paths of Sparse Quadratic Minimization with a Stieltjes Matrix Two-stage stochastic programs with nonconvex recourse
Curry, Robert	Optimizing Cooperative Interdependent Attack Graphs to compromise cyberinfrastructures Maximizing Node Activation Network Flow Problems under Non-simultaneous Flow Assumptions
Curtis, Frank	SQP Methods for Nonlinear Equality Constrained Stochastic Optimization
Curtis, Frank E.	A Derivative-Free Algorithm for Least-Squares that Exploits Prior Simulation Outputs
Curtis, Frank E.	Worst-Case Complexity of an SQP Method for Nonlinear Equality Constrained Stochastic Optimization
Cutkosky, Ashok	Adaptivity and Optimism in Acceleration
D
Dahan, Mathieu	Network Interdiction Games with Heterogeneous Transportation and Interdiction Costs
Dalmeijer, Kevin	Resiliency of on-demand multimodal transit systems during a pandemic
Dash, Sanjeeb	On Polytopes with Linear Rank with respect to Generalizations of the Split Closure Integer Programming for Causal Structure Learning in the Presence of Latent Variables
Davarnia, Danial	Solving cut-generating linear programs via machine learning A reinterpretation of cutting planes On The Structure Of DD-representable MIPs With Application To Unit Commitment
Davis, Damek	Clustering a mixture of Gaussians with unknown covariance A superlinearly convergent subgradient method for sharp semismooth problems
Davis, Lauren	Determining Optimal Fuel Strategies Under Uncertainty
de Castro, Philip	Application of Decomposition and Coordination Techniques on Multiobjective Engineering Design Problems
de Moor, Danique	Reformulation-Perspectification Technique: General Methodology
Deakins, Ethan	An Exact Method for Maintenance Planning Optimization in Nuclear Power Plants
Del Pia, Alberto	Extended Relaxation and Cutting-planes for Linear Programs with Complementarity Constraints
den Hertog, Dick	Reformulation-Perspectification Technique: General Methodology
Dezfulian, Shima	A Derivative-Free Algorithm for Least-Squares that Exploits Prior Simulation Outputs
Dhar, Swarup	An LP-based characterization of solvable QAP instances with chess-board and graded structures
Diaz, Mateo	Clustering a mixture of Gaussians with unknown covariance
Digalakis Jr, Vassilis	The backbone method for ultra-high dimensional sparse machine learning
Ding, Liang	High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids
Ding, Lijun	Algorithmic Regularization in Model-free Overparametrized Matrix Factorization
Dong, Anlan	Optimization of worker schedules to maintenance tasks
Dubey, Yatharth	On Polytopes with Linear Rank with respect to Generalizations of the Split Closure
Duchi, John	Private optimization in the interpolation regime: faster rates and hardness results
Díaz, Juan A	A Heuristic Approach for a Districting Application on On-time Last-mile Express Delivery Services
E
El Housni, Omar	On the Power of Static Assignment Policies for Robust Facility Location Problems LP-based Approximations for Disjoint Bilinear and Two-Stage Adjustable Robust Optimization
Elahi, Behin	Evaluation of Waste Disposal Alternatives in Healthcare Systems
Emirhuseyinoglu, Gorkem	Optimization of crop insurance policy selection and fertilizer management with water quality impacts
Escobedo, Adolfo R.	Edge-based Districting without Predetermined Centers: Model and Network Insights Exact Formulation and Partitioning of the General Rank Aggregation Problem Approximate Condorcet Partitioning: Solving Very Large Rank Aggregation Problems at Scale Fast and Exact Matrix Factorization Updates for Nonlinear Programming
Estes, Alexander	Quantity-Contingent Auctions and Allocation of Airport Slots
F
Fadavi, Niloofar	An Active-set Method For Two-Stage Stochastic Quadratic Programming
Fakhimi, Ramin	Formulations of the max k-cut problem on classical and quantum computers
Fan, Jianqing	Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data
Fan, Xiangyi	A Decision Rule Approach for Two-Stage Data-Driven Distributionally Robust Optimization Problems with Random Recourse
Fan, Zhengyang	Reward-Risk Ratio Optimization under Copula-Based Wasserstein Ambiguity
Farias, Vivek	Learning Treatment Effects in Panels with General Intervention Patterns
Fattahi, Salar	A Graph-based Decomposition Method for Convex Quadratic Optimization with Indicators Implicit Regularization of Sub-gradient Method in Robust Matrix Recovery
Fazel, Maryam	Complexity Bounds of Iterative Linearization Algorithms for Discrete Time Nonlinear Control
Fessler, Jeffrey	Algorithms for Nonconvex Probabilistic PCA for Data With Heteroscedastic Noise
Forrester, Richard	Computational Comparison of Exact Solution Methods for 0-1 Quadratic Programs: Recommendations for Practitioners
Fountoulakis, Kimon	p-Norm Flow Diffusion for Local Graph Clustering
Foussoul, Ayoub	LP-based Approximations for Disjoint Bilinear and Two-Stage Adjustable Robust Optimization
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Gangammanavar, Harsha	An Active-set Method For Two-Stage Stochastic Quadratic Programming
Gao, Rui	Optimal Robust Policy for Feature-Based Newsvendor Data-driven Multistage Distributionally Robust Optimization
Gao, Tian	Integer Programming for Causal Structure Learning in the Presence of Latent Variables
García, Helena	Energy Storage Management Strategies under Uncertain Generation
Georghiou, Angelos	Distributionally Robust Optimization with Decision-Dependent Information Discovery
Ghosh, Mayukh	Incorporating Intuition in Last-Mile Routing
Ghuge, Rohan	Non-Adaptive Stochastic Score Classification and Explainable Halfspace Evaluation
Gilman, Kyle	Algorithms for Nonconvex Probabilistic PCA for Data With Heteroscedastic Noise
Giovannelli, Tommaso	Bilevel stochastic methods for optimization and machine learning: Bilevel stochastic descent and DARTS
Gomez, Andres	A Graph-based Decomposition Method for Convex Quadratic Optimization with Indicators Comparing Solution Paths of Sparse Quadratic Minimization with a Stieltjes Matrix Optimal Robust Classification Trees On the convex hull of convex quadratic optimization with indicators
Goyal, Akshit	Decision Rule Approaches for Distributionally Robust Stochastic Bilevel Linear Programs
Goyal, Vineet	On the Power of Static Assignment Policies for Robust Facility Location Problems LP-based Approximations for Disjoint Bilinear and Two-Stage Adjustable Robust Optimization
Guan, Hongzhao	Iterative Approaches for Integrating Rider Behavior into the Design of Large-Scale On-Demand Multimodal Transit Systems
Guo, Cheng	Copositive Duality for Discrete Markets and Games Tightening Quadratic Convex Relaxations for the AC Optimal Transmission Switching Problem
Gupta, Anupam	Non-Adaptive Stochastic Score Classification and Explainable Halfspace Evaluation
Guzman, Cristobal	Optimal Algorithms for Differentially Private Monotone Stochastic Variational Inequalities
H
Ha, Yunsoo	Complexity Analysis of Trust-Region Optimization with Adaptive Sampling for Zeroth-Order Stochastic Oracles
Haight, Robert	A Risk-Averse Multi-stage Stochastic Optimization Approach to the EAB Epidemic Problem in the US Forests
Han, Eojin	Capacity Expansion for Deferred Surgeries via Robust Optimization On Finite Adaptability in Two-stage Distributionally Robust Optimization
Han, Shaoning	Some Strongly Polynomially Solvable Convex Quadratic Programs with Bounded Variables Comparing Solution Paths of Sparse Quadratic Minimization with a Stieltjes Matrix
Han, X.Y.	Survey Descent: A Multipoint Generalization of Gradient Descent for Nonsmooth Optimization
Hanasusanto, Grani	A Decision Rule Approach for Two-Stage Data-Driven Distributionally Robust Optimization Problems with Random Recourse Distributionally Robust Optimization with Decision-Dependent Information Discovery On Data-Driven Prescriptive Analytics with Side Information: A Regularized Nadaraya-Watson Approach
Hansen, Mark	Quantity-Contingent Auctions and Allocation of Airport Slots
Harchaoui, Zaid	Complexity Bounds of Iterative Linearization Algorithms for Discrete Time Nonlinear Control Federated Learning with Heterogeneous Data: A Superquantile Optimization Approach
He, Chuan	Decision Rule Approaches for Distributionally Robust Stochastic Bilevel Linear Programs
He, Ziyu	Comparing Solution Paths of Sparse Quadratic Minimization with a Stieltjes Matrix
Herrman, Rebekah	Multi-angle Quantum Approximate Optimization Algorithm
Hicks, Illya	Modeling Disjunctive Constraints via Junction Trees
Hicks, Illya V.	Mixed Integer Linear Optimization Formulations for Learning Optimal Binary Classification Trees Formulations of the max k-cut problem on classical and quantum computers
Hinder, Oliver	Faster First-Order Primal-Dual Methods for Linear Programming using Restarts and Sharpness
Ho, Chin Pang	On Data-Driven Prescriptive Analytics with Side Information: A Regularized Nadaraya-Watson Approach
Hoffenson, Steven	Optimization of worker schedules to maintenance tasks
Homem-de-Mello, Tito	Improving Microgrid Energy Management with storage via Stochastic Optimization and Machine Learning
Hong, David	Algorithms for Nonconvex Probabilistic PCA for Data With Heteroscedastic Noise
Hooker, John	A reinterpretation of cutting planes
Hosseini, Mojtaba	Deepest Cuts for Benders Decomposition
Hssaine, Chamsi	Plan Your System and Price for Free: Fast Algorithms for Multimodal Transit Operations
Hu, Hao	Robust Interior Point Methods for Quantum Key Rate Computation for Quantum Key Distribution
Hu, Yichun	Fast Rates for Contextual Linear Optimization
Huang, Minhui	On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport
Huchette, Joey	Modeling Disjunctive Constraints via Junction Trees
Hunt, Kyle	Managing Misinformation on Social Media during Disasters: Machine Learning and Game-Theoretic Approaches
Hunt-Isaak, Noah	Computational Comparison of Exact Solution Methods for 0-1 Quadratic Programs: Recommendations for Practitioners
Hyun, Sangwon	Sparse Multivariate Mixture of Experts for analyzing Marine Microbial Systems
I
Idoko, Faith	Determining Optimal Fuel Strategies Under Uncertainty
Im, Haesol	Robust Interior Point Methods for Quantum Key Rate Computation for Quantum Key Distribution A Strengthened Barvinok-Pataki Bound on SDP Rank
Isik, Tugce	Optimal Transportation Mode Selection and Capacity Allocation under Uncertainty
Iyengar, Garud	Distributionally Robust End-to-End Portfolio Construction
Iyer, Rishabh	Submodular Information Measures in Machine Learning Bi-level Optimization for Robust and Efficient Learning
J
Jaillet, Patrick	Network Interdiction Games with Heterogeneous Transportation and Interdiction Costs
Jara-Moroni, Francisco	Improving Microgrid Energy Management with storage via Stochastic Optimization and Machine Learning
Jaworski, Joshua	Computation Efficient Stochastic Optimization for Variable Efficiency Energy Storage
Jayasekara, Pubudu	An Algorithm for Biobjective Mixed Integer Quadratic Programs
Ji, Ran	Reward-Risk Ratio Optimization under Copula-Based Wasserstein Ambiguity
Jia, Huiwen	Shared-Mobility-Based Evacuation Planning under Demand Uncertainty Online Learning and Pricing for Service Systems with Reusable Resources
Jiang, Jiashuo	Tight Guarantees for Multi-unit Prophet Inequalities and Online Stochastic Knapsack Online Stochastic Optimization with Wasserstein Based Non-stationarity
Jiang, Liwei	Algorithmic Regularization in Model-free Overparametrized Matrix Factorization
Jiang, Nan	DFO: A Robust Framework for Data-driven Decision-making with Outliers ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs
Jiang, Ruiwei	Projection Cuts for Two-Stage Stochastic Mixed-Integer Programs Locating Charging Stations for Battery Electric Buses: a Data-Driven Optimization Approach Convex Chance-Constrained Programs with Wasserstein Ambiguity
Jin, Billy	High Probability Complexity Bounds for Line Search Based on Stochastic Oracles
Jin, Qing	Distributionally Robust Optimization with Decision-Dependent Information Discovery
Joyce, Alexander	Convex Hull Results on Quadratic Programs with Non-Intersecting Constraints
Justin, Nathan	Optimal Robust Classification Trees
K
Kalagnanam, Jayant	Interpretable Clustering via Multi-Polytope Machines
Kallus, Nathan	Fast Rates for Contextual Linear Optimization
Kang, Sumin	Distributionally risk-receptive and risk-averse network interdiction problems with general ambiguity set
Karamanli, Cem	Derivative-Free Optimization via Adaptive Sampling Strategies
Kassem, Zeyad	Edge-based Districting without Predetermined Centers: Model and Network Insights
Kazachkov, Aleksandr M.	An Abstract Model for Branch-and-Cut
Ke, Chengyu	Generalized ADMM Framework for Non-overlapping Group Selection
Kent, Griffin	Bilevel stochastic methods for optimization and machine learning: Bilevel stochastic descent and DARTS
Khator, Dr. Suresh	Micro-grid Planning With Aggregator's Role In The Renewable Inclusive Prosumer Market
Killamsetty, Krishnateja	Bi-level Optimization for Robust and Efficient Learning
Kim, Youngdae	A Globally Convergent Distributed Jacobi Scheme for Block-Structured Nonconvex Constrained Optimization Problems
King, Alan	MOSDEX: Proposal for A New Standard for Data Exchange with Optimization Solvers
Kocuk, Burak	Proximity Results In Mixed-integer Second Order Conic Programming
Kosmas, Daniel	Multi-period Max Flow Network Interdiction with Restructuring for Disrupting Domestic Sex Trafficking Networks
Kuiper, Alex	Incorporating Intuition in Last-Mile Routing
Kulkarni, Kartik	Multi-Module Capacitated Lot-Sizing Problem, and its Generalizations with Two-Echelons and Piecewise Concave Production Costs
Küçükyavuz, Simge	On constrained mixed-integer DR-submodular minimization A Graph-based Decomposition Method for Convex Quadratic Optimization with Indicators On the convex hull of convex quadratic optimization with indicators
L
Laguel, Yassine	Federated Learning with Heterogeneous Data: A Superquantile Optimization Approach
Lai, Lifeng	On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport
Lam, Henry	A General Approach to Solve Shape-Constrained Distributionally Robust Optimization via Importance-Weighted Sample Average Approximation
Lan, Guanghui	Optimal Methods for Risk Averse Distributed Optimization
Larson, Jeffrey	Joint Routing of Conventional and Range-Extended Electric Vehicles in a Large Metropolitan Network
Lawless, Connor	Interpretable Clustering via Multi-Polytope Machines
Le Bodic, Pierre	An Abstract Model for Branch-and-Cut
Lee, Kangwook	On a bilevel optimization approach to fair classification
Lee, Kiwon	SGD in the Large: Exact Dynamics, Average-case Analysis, and Stepsize Criticality
Lejeune, Miguel	Drone-Network Queuing Optimization Model for Emergencies Reward-Risk Ratio Optimization under Copula-Based Wasserstein Ambiguity
Lewis, Adrian	Survey Descent: A Multipoint Generalization of Gradient Descent for Nonsmooth Optimization
Li, Andrew	Learning Treatment Effects in Panels with General Intervention Patterns
Li, Changbin	Bi-level Optimization for Robust and Efficient Learning
Li, Hongyi	Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework
Li, Jiaxiang	Stochastic Zeroth-order Riemannian Derivative Estimation and Optimization
Li, Xiaocheng	Online Stochastic Optimization with Wasserstein Based Non-stationarity
Li, Yan	Enhancing the Small-Signal Stability of Islanded Microgrids under Droop Control
Li, Yao	Decentralized Composite Optimization with Compression
Li, Yongchun	Beyond Symmetry: Best Submatrix Selection for the Sparse Truncated SVD Efficient Sequential Experiment Design for Generalized Linear Models
Li, Zichong	First and zeroth-order methods for constrained nonconvex optimization
Lin, Jie	Robust Interior Point Methods for Quantum Key Rate Computation for Quantum Key Distribution
Lin, Qihang	Self-guided Approximate Linear Programs
Lin, Tianyi	Stochastic first-order Algorithms for a class of non-Lipschitz variational inequalities
Lin, Ziqian	On a bilevel optimization approach to fair classification
Linderoth, Jeff	Extended Relaxation and Cutting-planes for Linear Programs with Complementarity Constraints Integer Programming Approaches to Subspace Clustering with Missing Data
Liu, Deyi	A New Randomized Primal-Dual Algorithm for Convex Optimization with Optimal Last Iterate Rates
Liu, Peijing	A Graph-based Decomposition Method for Convex Quadratic Optimization with Indicators
Liu, Sijia	First and zeroth-order methods for constrained nonconvex optimization
Liu, Tianzhu	An LP-based characterization of solvable QAP instances with chess-board and graded structures
Liu, Xiaorui	Decentralized Composite Optimization with Compression
Liu, Yanchao	bsnsing: A decision tree induction method based on recursive optimal boolean rule composition
Liu, Yulin	Quantity-Contingent Auctions and Allocation of Airport Slots
Liu, Zhaocai	Locating Charging Stations for Battery Electric Buses: a Data-Driven Optimization Approach
Liu, Zhenyuan	A General Approach to Solve Shape-Constrained Distributionally Robust Optimization via Importance-Weighted Sample Average Approximation
Ljubic, Ivana	Exact Benders Adaptive-cut Method for Two-Stage Stochastic Programs
Lou, Yifei	Generalized ADMM Framework for Non-overlapping Group Selection
Lowy, Andrew	Private Federated Learning Without a Trusted Server
Lu, Haihao	Faster First-Order Primal-Dual Methods for Linear Programming using Restarts and Sharpness
Lu, Songtao	First and zeroth-order methods for constrained nonconvex optimization
Lubin, Miles	Faster First-Order Primal-Dual Methods for Linear Programming using Restarts and Sharpness
Luedtke, James	Integer Programming Approaches to Subspace Clustering with Missing Data On Generating Lagrangian Cuts for Two-Stage Stochastic Integer Programs Stochastic lot-sizing with substitution and service level constraints
Luo, Qi	Plan Your System and Price for Free: Fast Algorithms for Multimodal Transit Operations Efficient Algorithms for Stochastic Ridepooling Assignment with Mixed Fleets
Lutkenhaus, Norbert	Robust Interior Point Methods for Quantum Key Rate Computation for Quantum Key Distribution
Lyu, Bochuan	Modeling Disjunctive Constraints via Junction Trees
M
Ma, Cong	Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data
Ma, Jianhao	Implicit Regularization of Sub-gradient Method in Robust Matrix Recovery
Ma, Shiqian	Stochastic Zeroth-order Riemannian Derivative Estimation and Optimization On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport
Ma, Will	Tight Guarantees for Multi-unit Prophet Inequalities and Online Stochastic Knapsack
Mahes, Roshan	Incorporating Intuition in Last-Mile Routing
Malde, Avnish	Optimal Transportation Mode Selection and Capacity Allocation under Uncertainty
Malick, Jerome	Federated Learning with Heterogeneous Data: A Superquantile Optimization Approach
Mao, Xiaojie	Fast Rates for Contextual Linear Optimization
Maragno, Donato	Incorporating Intuition in Last-Mile Routing
Margot, Francois	Drone-Network Queuing Optimization Model for Emergencies
Mastin, Andrew	Best Response Intersection: An Optimal Algorithm for Interdiction Defense
Mazumder, Rahul	Sparse PCA: A New Scalable Estimator Based On Integer Programming Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features
Medal, Hugh	Stochastic approximate cutting plane algorithms for continuous DR-submodular Maximization Algorithms for Computing Diverse Sets of Near-Optimal Solutions to Mixed-Integer Optimization Problems
Meng, Xiang	Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features
Misic, Velibor	Column-Randomized Linear Programs: Performance Guarantees and Applications
Mitchell, John	Multi-period Max Flow Network Interdiction with Restructuring for Disrupting Domestic Sex Trafficking Networks
Mitra, Ankan	An Exact Optimization Approach for Relay Node Location in Wireless Sensor Networks
Mohammad Nezhad, Ali	On the analytic reparametrization of the central path of semidefinite optimization
Moran, Diego	Proximity Results In Mixed-integer Second Order Conic Programming
Moreno, Eduardo	Exact Benders Adaptive-cut Method for Two-Stage Stochastic Programs
Morton, David	A global optimization framework with machine learning models to inform early termination Distributionally Robust Two-Stage Convex Quadratic Programming
Moug, Kati	Shared-Mobility-Based Evacuation Planning under Demand Uncertainty
Murray-Tuite, Pamela	Using OR to Prioritize Transportation Network Resilience Investments Getting to the Scenes Faster: Facilitating the Movement of Multiple Emergency Response Vehicles in Two-way Roadways
Musselman, Amelia	Best Response Intersection: An Optimal Algorithm for Interdiction Defense
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Nadarajah, Selvaprabu	Self-guided Approximate Linear Programs
Nagarajan, Harsha	Tightening Quadratic Convex Relaxations for the AC Optimal Transmission Switching Problem
Nagarajan, Viswanath	Efficient Algorithms for Stochastic Ridepooling Assignment with Mixed Fleets Non-Adaptive Stochastic Score Classification and Explainable Halfspace Evaluation
Nahofti Kohneh, Jamal	Getting to the Scenes Faster: Facilitating the Movement of Multiple Emergency Response Vehicles in Two-way Roadways
Newton, David	Retrospective Approximation For Smooth Stochastic Approximation
Nguyen, Lam	Interpretable Clustering via Multi-Polytope Machines
Niu, Xiaochun	A Generalized Primal-Dual Algorithm Framework for Saddle Point Problems
Nocedal, Jorge	A Trust Region Method for the Optimization of Noisy Functions
Nohadani, Omid	Capacity Expansion for Deferred Surgeries via Robust Optimization On Finite Adaptability in Two-stage Distributionally Robust Optimization
Nunes Vicente, Luis	Bilevel stochastic methods for optimization and machine learning: Bilevel stochastic descent and DARTS
O
O'Neill, Michael	Worst-Case Complexity of an SQP Method for Nonlinear Equality Constrained Stochastic Optimization
Olivari, Jocelyn	Improving Microgrid Energy Management with storage via Stochastic Optimization and Machine Learning
Ostrovskii, Dmitrii	Nonconvex-Nonconcave Min-Max Optimization with a Small Maximization Domain
Ostrowski, James	Investigating the Impact of Preprocessing on Quantum Algorithms An Exact Method for Maintenance Planning Optimization in Nuclear Power Plants Multi-angle Quantum Approximate Optimization Algorithm
Ouyang, Hui	On the Convergence of Generalized Proximal Point Algorithms for Monotone Inclusion Problems
P
Pacaud, François	A Globally Convergent Distributed Jacobi Scheme for Block-Structured Nonconvex Constrained Optimization Problems
Pakiman, Parshan	Self-guided Approximate Linear Programs
Pananjady, Ashwin	Sharp convergence guarantees for iterative algorithms in random optimization problems
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