IOS 2024: INFORMS OPTIMIZATION SOCIETY CONFERENCE 2024

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Abolfazli, Nazanin	A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem An Inexact Conditional Gradient Method for Constrained Bilevel Optimization
Abouzied, Azza	Package Queries for Massive-scale In-Database Decision Support
Acosta-Espejo, Luis	Forecasting Market-Suitable Vegetables by Using a Decision Tree Algorithm
Affar, Samuel	A Successive Refinement Algorithm for Stochastic Programs with Decision-Dependent Distribution Functions
Agarwal, Alekh	Stochastic Gradient Succeeds for Bandits
Ahn, Kwangjun	In-context learning of linear functions with gradient descent (an invited talk)
Ahn, Miju	Computing a directional stationary solution of DC programs via ADMM
Akbari, Sina	The minimum feedback arc set problem over bidirectional graphs with an application to faculty hiring networks
Akbarijokar, Soroush	Convex Inverse Mixed-Integer Linear Programming
Al-Thani, Hessa	Minimum Cost Adaptive Submodular Cover
Alajmi, Mesfer	A Fokker-Planck optimal control framework in esophageal cancer A differential game framework for regulating aberrant signaling pathways in esophageal cancer
Alali, Wissam	Rectified Relaxation: A new learning approach for linear optimization with linear and complementary constraints Systemic Risk Measures Based On Value-at-Risk
Alcántara, Antonio	A Quantile Neural Network Framework for Two-stage Stochastic Optimization
Ali, Moustafa	A Multiparametric Programming Approach to Accelerate Neural Network based Model Predictive Control
Almasi, Mohammadsina	Exploring Nonlinear Distance Metrics for Lipschitz Constant Estimation in Lower Bound Construction for Global Optimization
Amallah, Mohamed Anass	Data Storage and Sharing Scheme Based on Double Blockchain and Proxy Re-Encryption
Amin, Saurabh	A tractable smart predict-then-optimize algorithm beyond the realizable case
Ammari, Bashar	Data-driven Decision-making with the Optimization & Machine Learning Toolkit (OMLT)
Amusat, Oluwamayowa	Cost-Optimization of Process-Scale Desalination Systems Incorporating Surrogate-based Water Chemistry Models
An, Dong	Quantum algorithms for linear differential equations beyond Hamiltonian simulation
An, Lin	Online Resource Allocation with Predictions
Anahideh, Hadis	Exploring Nonlinear Distance Metrics for Lipschitz Constant Estimation in Lower Bound Construction for Global Optimization
Andrianesis, Panagiotis	Convex Hull Pricing in Electricity Markets: Evidence from a Large US Market
Anitescu, Mihai	Accelerated Nonlinear Programming on GPUs: Implementing Solver and Automatic Differentiation Frequency Recovery in Power Grids using High-Performance Computing
Antil, Harbir	A Discontinuous Galerkin Method for Optimal Control Problem of the Obstacle Problem
Apanavicius, Joshua	Optimization Applications as Quantum Performance Benchmarks
Applegate, David	Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient
Ararat, Çağın	Systemic Risk Measures Based On Value-at-Risk
Arnaout, Jean Paul	Worm Optimization Algorithm to Solve for the Transportation Problem of Cross-Docking Network
Arnold, Andrea	Dynamic Parameter Estimation in Deterministic Dynamical Systems
Asi, Hilal	Private Online Prediction from Experts: Separations and Faster Rates
Aswani, Anil	Tensor completion via integer optimization
Atia, Adam	Cost-Optimization of Process-Scale Desalination Systems Incorporating Surrogate-based Water Chemistry Models
Augustino, Brandon	Iterative Refinement for Semidefinite Optimization
Aybat, Necdet Serhat	High probability and risk-averse guarantees for stochastic saddle point problems A Stochastic GDA Method with Backtracking for Solving Nonconvex (Strongly) Concave Minimax Problems
Aydin, Sarper	Decentralized and Networked Policy Gradient for Solving Markov Potential Games
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Babakniya, Sara	SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models
Baharlouei, Sina	f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
Bai, Yulan	A Compact Formulation for Dense Fixed-Charge Network Flow Problems
Balasubramanian, Krishnakumar	Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space Zeroth-order Riemannian Averaging Stochastic Approximation Algorithms Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions
Bansak, Kirk	Dynamic Matching with Post-allocation Service and its Application to Refugee Resettlement
Bansal, Manish	Distributionally Ambiguous Multistage Stochastic Integer and Disjunctive Programs: Applications to Sequential Two-player Network Interdiction Games Exact Algorithm for Maximum Feasible Subsystem Problems with Uncertain Input Data
Baraniuk, Richard	Transformers Meet Image Denoising: Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals
Barrett, Susan	Improving Patient Access via Primary Care Optimization
Bartholomew, Timothy	Cost-Optimization of Process-Scale Desalination Systems Incorporating Surrogate-based Water Chemistry Models
Basciftci, Beste	Distributionally Robust Optimization with Multimodal Decision-Dependent Ambiguity Sets Adaptive Multistage Stochastic Programming
Basso, Joao	Performance and limitations of the QAOA at constant levels on large sparse hypergraphs and spin glass models
Basu, Saugata	O-minimal structures and central paths in nonlinear optimization A Higher-Order Interior Point Method for Semidefinite Optimization Problems Failing Strict Complementarity Condition
Bayraksan, Güzin	Residual-Based Distributionally Robust Optimization with Decision-Dependent Uncertainty
Becker, Cole	Learning Decision-Focused Uncertainty Sets in Robust Optimization
Belov, Gleb	AMPLS Solver Libraries Automatic Reformulations in AMPL’s New MP Solver Interface Library
Bendotti, Pascale	Handling polyhedral symmetries with a dedicated Branch&Cut: application to a knapsack variant
Bennouna, Omar	A tractable smart predict-then-optimize algorithm beyond the realizable case
Berahas, Albert	Exploiting Negative Curvature in Conjunction with Adaptive Sampling: Theoretical Results and a Practical Algorithm Retrospective Approximation for Stochastic Constrained Problems Using Sequential Quadratic Programming Sequential Quadratic Programming for Noisy Equality Constrained Optimization with Rank-Deficient Jacobians
Bergman, David	Value Function Projections for Discrete Bilevel Optimization
Bernal Neira, David	Federated Hierarchical Tensor Networks: a Collaborative Quantum AI-Driven Framework for Healthcare Optimization Applications as Quantum Performance Benchmarks Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications
Bernal Neira, David	Accelerating Continuous Variable Coherent Ising Machines via Momentum
Bertsimas, Dimitris	Adaptive Pricing in Unit Commitment Under Load and Capacity Uncertainty Convex Hull Pricing in Electricity Markets: Evidence from a Large US Market
Besançon, Mathieu	Efficient relax-and-cut separation in a branch-and-cut solver Network Design for the Traffic Assignment Problem with Mixed-Integer Frank-Wolfe
Bhatia, Amandeep Singh	Federated Hierarchical Tensor Networks: a Collaborative Quantum AI-Driven Framework for Healthcare
Bhattarai, Sudhan	Multi-stage stochastic programming for integrated hurricane relief logistics and evacuation planning
Bhosekar, Atharv	Branch-and-Model: A Derivative-free Global Optimization Algorithm
Biegler, Lorenz	Data-driven Parameter Estimation for Large-Scale Nonlinear Dynamical Systems
Bienstock, Daniel	Risk-Aware Security-Constrained Unit Commitment
Bilal, Muhammad	Bayesian Strategies for Numerical Solutions in Nonlinear Fractional Order Systems: A Focus on Cutaneous Leishmaniasis
Bilal, Shafia	Bayesian Strategies for Numerical Solutions in Nonlinear Fractional Order Systems: A Focus on Cutaneous Leishmaniasis
Birmiwal, Rahul	Neuromancer: Differentiable Programming Library for Learning to Optimize and Control
Blanchet, Jose	On the Foundation of Distributionally Robust Reinforcement Learning Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Algorithm Design and Convergence Analysis
Blanco, Victor	Minimal representations of generalized power cones
Bollapragada, Raghu	Exploiting Negative Curvature in Conjunction with Adaptive Sampling: Theoretical Results and a Practical Algorithm Retrospective Approximation for Stochastic Constrained Problems Using Sequential Quadratic Programming Efficient Gradient Tracking Algorithmic Framework for Decentralized Optimization
Bolusani, Suresh	Efficient relax-and-cut separation in a branch-and-cut solver
Bondarev, Anton	Optimization in hybrid controlled systems with piecewise-smooth systems' dynamics.
Boob, Digvijay	Last-iterate convergence for convex function-constrained optimization
Borgwardt, Steffen	A Cycle Cancelling Heuristic for The Traveling Salesman Problem
Boroun, Morteza	Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems
Borrero, Juan	A Bilevel Optimization Approach for a Class of Combinatorial Problems with Disruptions and Probing
Bragin, Mikhail	Acceleration of Level Adjustment for the Polyak Stepsize: Applications to Convex and Non-Convex Problems
Brandao, Filipe	AMPLS Solver Libraries Automatic Reformulations in AMPL’s New MP Solver Interface Library
Broihan, Justine	The Best of Both Worlds - Integrating Python and GAMS
Brown, David	Unit Commitment without Commitment: A Dynamic Framework for Managing an Integrated Energy System Under Uncertainty
Brown, Robin	Accelerating Continuous Variable Coherent Ising Machines via Momentum
Brown, Robin	Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications
Brust, Johannes	An LDLT Quasi-Newton Trust-Region Method
Buchanan, Austin	Integer programming formulations for partitioning a graph into low-diameter clusters
Bui, Hoa Thi	Coordinate Partitioning for Difficult Euclidean Max-Sum Diversity Problems
Burkowski, Forbes	A Peaceman-Rachford Splitting Method for the Protein Side-Chain Positioning Problem
Butenko, Sergiy	Improved Airline Network Topologies for Building Resilient & Robust Aviation Infrastructures A Hierarchy of Nonconvex Continuous Reformulations for Discrete Optimization
Bynum, Michael	Data-driven Decision-making with the Optimization & Machine Learning Toolkit (OMLT)
Büsing, Christina	Recycling Valid Inequalities for Robust Optimization
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Cai, Yang	Last-Iterate Convergence for Learning in Games
Cangelosi, Jonathan	Adaptive Surrogate Modeling for Trajectory Optimization with Model Inexactness
Cao, Yankai	A Differentiable Decision Tree Induction Algorithm with Near-optimality
Cao, Yifeng	Tight Bounds for The Price of Fairness
Caramanis, Michael	Convex Hull Pricing in Electricity Markets: Evidence from a Large US Market
Carrizosa, Emilio	SEQUENTIAL COUNTERFACTUAL DECISIONS
Ceballos-Fuentealba, Irlanda	Forecasting Market-Suitable Vegetables by Using a Decision Tree Algorithm
Chakrabarti, Shouvanik	Universal Quantum Speedup for Branch-and-Bound, Branch-and-Cut, and Tree-Search Algorithms
Chandramoorthy, Nisha	How well do learning and dimension reduction methods for nonlinear dynamics generalize?
Chandrasekaran, Venkat	Any-dimensional convex sets Optimal Regularization for a Data Source
Charisopoulos, Vasileios	A superlinearly convergent subgradient method for nonsmooth optimization
Che, Ethan	Adaptive Experimentation at Scale
Chen, Chen	Tensor completion via integer optimization Parallelized Conflict Graph Cut Generation
Chen, Chi-Fang	Local minima in quantum systems
Chen, Louis	On the Adversarial Robustness of Benjamini Hochberg
Chen, Ningyuan	Decision-making with Side Information: A Causal Transport Robust Approach
Chen, Rui	Sparse multi-term disjunctive cuts for the epigraph of a function of binary variables
Chen, Run	A distributed algorithm for multi-scale multi-stage stochastic programs with applications to electricity capacity expansion
Chen, Sitan	Provably learning a multi-head attention layer
Chen, Violet	Achieving Group Fairness through Social Welfare Optimization
Chen, Xin	Tensor completion via integer optimization
Chen, Xuxing	Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions
Chen, Yian	Convex Relaxation for Fokker-Planck
Chen, Yongxin	Proximal Oracles for Optimization and Sampling
Chen, Yudong	Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements
Chen, Zaiwei	Two-Timescale Q-Learning with Function Approximation in Zero-Sum Markov Games
Cheng, Chao-Jung	Surface Mount Technology (SMT) Production Line Scheduling by Computer Simulation and Genetic Algorithm Solving an Advanced Available-to-Promise (AATP) Problem by Optimization and Meta-heuristics Techniques
Cheng, Chi-Bin	Surface Mount Technology (SMT) Production Line Scheduling by Computer Simulation and Genetic Algorithm Solving an Advanced Available-to-Promise (AATP) Problem by Optimization and Meta-heuristics Techniques
Cheng, James	Follower Agnostic Methods for Stackelberg Games
Cheng, Xiang	In-context learning of linear functions with gradient descent (an invited talk)
Cheng, Yuan	In-Context Convergence of Transformers
Chiang, Nai-Yuan	A filter trust-region continuation method for contact optimization and complementarity problems
Chisholm, Nicholas	Optimization on Measure Spaces with Regular Divergences and Mixed Boundary Conditions
Cho, Nathan	On the coupling between the scheduling of electrified fleets of buses travel and charging and grid pricing.
Christian Etienne, Marc	Surface Mount Technology (SMT) Production Line Scheduling by Computer Simulation and Genetic Algorithm
Cifuentes, Diego	A Semidefinite Hierarchy for Expected Independence Numbers of Random Graphs
Cifuentes, Diego	A Low-Rank Augmented Lagrangian Method for Large-Scale Semidefinite Programming Based on a Hybrid Convex-Nonconvex Approach A Low-Rank Augmented Lagrangian Method for Large-Scale Semidefinite Programming Based on a Hybrid Convex-Nonconvex Approach: Part II Sensitivity analysis for mixed binary quadratic programming
Cire, Andre	Value Function Projections for Discrete Bilevel Optimization Self-Adapting Network Relaxations for Weakly Coupled Markov Decision Processes
Clarke, Stefan	Differentiable Cutting-plane Layers for Mixed-integer Linear Optimization
Coffrin, Carleton	Performance Benchmarks of Quantum Annealing Hardware Optimization Applications as Quantum Performance Benchmarks
Cornelio, Cristina	AI Hilbert: A New Paradigm for Scientific Discovery by Unifying Data and Background Knowledge
Cory-Wright, Ryan	AI Hilbert: A New Paradigm for Scientific Discovery by Unifying Data and Background Knowledge Gain Confidence, Reduce Disappointment: A New Approach to Cross-Validation for Sparse Regression
Creemers, Stefan	Discrete Optimization: A Quantum Revolution?
Crozier, Constance	Exploiting Observed Network Behavior for Accelerated Optimal Power Flow
Cui, Ying	Deep Learning with Nontrivial Constraints Optimization with Superquantile Constraints: A Fast Computational Approach
Cui, Yubing	Minimum Cost Adaptive Submodular Cover
Cummings, Kayla	Online Rack Placement in Large-scale Data Centers
Curtis, Frank E.	Stochastic-Gradient-based Interior-Point Algorithms
Curtis, Frank E.	Almost-sure convergence of iterates and multipliers in stochastic sequential quadratic optimization
Custic, Ante	An interesting generalization of the Koopman-Beckmans quadratic assignment problem
Cuturi, Marco	A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport
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Dahan, Mathieu	Designing Resilient Relay Logistics Networks Using k Shortest Paths
Dahl, Joachim	Recent advances in the COPT conic optimizer
Dai, Bo	Stochastic Gradient Succeeds for Bandits
Dai, Jinyu	A new path tracking algorithm for solving the CDT subproblem
Dai, Yongzheng	Tensor completion via integer optimization Parallelized Conflict Graph Cut Generation
Daneshmand, Hadi	In-context learning of linear functions with gradient descent (an invited talk)
Dasarathy, Gautam	Maximizing and Satisficing in Multi-armed Bandits with Graph Information
Dash, Sanjeeb	AI Hilbert: A New Paradigm for Scientific Discovery by Unifying Data and Background Knowledge
Davanloo Tajbakhsh, Sam	Riemannian Stochastic Variance-Reduced Cubic Regularized Newton Method
Davis, Damek	A linearly convergent Gauss-Newton subgradient method for ill-conditioned problems A superlinearly convergent subgradient method for nonsmooth optimization
de Castro, Philip	Pareto Leap: An Algorithm for Biobjective Mixed-Integer Programming
de Jong, Wibe Albert	Machine learning enhanced meta-heuristic optimization algorithms for autonomous experimentation
De Loera, Jesus	Integer Points in Convex Cones: The Case of PSD and SOC
de Moor, Danique	An exact method for a class of robust nonlinear optimization problems
Deka, Deepjyoti	Learning to Accelerate the Global Optimization of Quadratically-Constrained Quadratic Programs A Generalizable End-to-End Learning Approach for Global Optimization of Quadratically-Constrained Quadratic Programs
Delage, Erick	Robust Data-driven Prescriptiveness Optimization
Deng, Qi	New Developments of ADMM-based Interior Point Methods for Linear Programming and Conic Programming
Deo, Anand	Self-Structured Importance Sampling for Chance-Constrained Optimization
Deshmukh, Jyotirmoy	Potential Games on Cubic Splines for Multi-Agent Motion Planning
Devera, Ryan	Deep Learning with Nontrivial Constraints
Dey, Santanu	Sensitivity analysis for mixed binary quadratic programming Non-Monotonicity of Branching Rules with respect to Linear Relaxations
Dey, Shibshankar	A Robust Approach to Locating Vaccination Centers for a Pandemic: A Problem Driven by Herd Immunity and Decision-Dependent Utility, with a Solution Framework Mixed-Integer Programming Formulations for Chance-Constrained Optimization with Mixture Models
Dhingra, Vrinda	Sectoral portfolio optimization by judicious selection of financial ratios via PCA
Diao, Shuotao	A Unifying Theory for the Reliability of Stochastic Programming Solutions using Compromise Decisions
Diaz, Mateo	Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient
Ding, Dongsheng	Constrained Policy Optimization in Reinforcement Learning: A Tale of Regularization and Optimism
Ding, Lijun	Revisiting Spectral Bundle Methods: Primal-dual (Sub)linear Convergence Rates
Ding, Lijun	Spectral Bundle Methods For Primal And Dual Semidefinite Programs Linear convergence of proximal point methods under Polyak-Łojasiewicz and quadratic growth conditions
Ding, Yichuan	Tight Bounds for The Price of Fairness
Dirkse, Steven	Model Deployment with GAMS Engine The Best of Both Worlds - Integrating Python and GAMS
Do Nascimento Silva, Gilson	An Adaptive Block Proximal ADMM for Weakly Convex, Linearly-Constrained Composite Functions.
Dobriban, Edgar	A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
Dong, Qiran	Beyond Discretization: Learning the Optimal Solution Path
Dong, Wanping	Exploiting Negative Curvature in Conjunction with Adaptive Sampling: Theoretical Results and a Practical Algorithm
Dong, Yuanyuan	Backhaul Profit Maximization with Multiple Vehicles
Dragotto, Gabriele	Differentiable Cutting-plane Layers for Mixed-integer Linear Optimization Who Plays First?
Drgona, Jan	Neuromancer: Differentiable Programming Library for Learning to Optimize and Control Neuromancer: Differentiable Programming Library for Data-driven Modeling and Control
Du, Simon	Optimal Minimax Optimization and Variational Inequalities with Separable Structure
Duan, Ning	Pricing and Routing Strategy to Maximize Profit in Congested Roads Considering Interactions with Travelers
Dubey, Anamika	[REFEREED PAPER TRACK ONLY] Convergence Guarantees of a Distributed Network Equivalence Algorithm for Distribution-OPF
Dubey, Yatharth	Branch-and-Bound with Predictions for Variable Selection
Dudchenko, Alexander	Cost-Optimization of Process-Scale Desalination Systems Incorporating Surrogate-based Water Chemistry Models
Dvorkin, Yury	Risk-Aware Security-Constrained Unit Commitment
Dzahini, Kwassi Joseph	Stochastic derivative-free optimization algorithms using random subspace strategies
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Eckman, David J.	Assessing Feasibility With Respect to Stochastic Constraints
Egan, Hilary	Enabling Scale-up through Multi-fidelity Adaptive Computing
Eksin, Ceyhun	Optimistic Policy Iteration In Linearly-Solvable Multi-Agent Games
El Housni, Omar	Maximum Load Assortment Optimization: Approximation Algorithms and Adaptivity Gaps Adaptivity Gaps in Two-sided Assortment Optimization
El Khadir, Bachir	AI Hilbert: A New Paradigm for Scientific Discovery by Unifying Data and Background Knowledge
Elmachtoub, Adam	Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
Erazo, Ignacio	Submodular Dispatching with Multiple Vehicles
Escobedo, Adolfo	The minimum feedback arc set problem over bidirectional graphs with an application to faculty hiring networks Derivation and Generation of Path-Based Valid Inequalities for Transmission Expansion Planning with New Bus Integration The edge-based contiguous p-median problem with connections to territorial districting
Eskandari, Hanie	Learning Discrete-Time Markov Chains from Aggregate Data
Estrada-Garcia, Juan-Alberto	Optimizing infrastructure system monitoring under stochastic decision-dependent system failures
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Fainman, Emily	Quantify Childbirth Care Inequity for Socioeconomically Disadvantaged Groups Profits or Loss: Installing Electric Vehicle Chargers on Public Parking Lots
Fampa, Marcia	Branch-and-bound for D-Optimality with fast local search and variable-bound tightening
Fan, Neng	A Data-Driven Multistage Stochastic-Robust Optimization Approach with Temporally Correlated Uncertainty Chance-Constrained Set k-Covering Problem
Farias Maia, Leandro	An Adaptive Block Proximal ADMM for Weakly Convex, Linearly-Constrained Composite Functions.
Fattahi, Salar	Parsimonious Trajectories in Gradient Descent: Emerging Low-dimensionality in Over-parameterized Models Can Learning Be Explained By Local Optimality In Low-rank Matrix Recovery?
Feldman, Vitaly	Private Online Prediction from Experts: Separations and Faster Rates
Feng, Qing	New Developments of ADMM-based Interior Point Methods for Linear Programming and Conic Programming
Feng, Xue	Improving Autoencoder Image Interpolation via Dynamic Optimal Transport
Fernández Fisac, Jaime	Differentiable Cutting-plane Layers for Mixed-integer Linear Optimization Who Plays First?
Fibich, Gadi	Explicit solutions of the SI and Bass models on random networks
Figenschou, Kate	Boosted Difference of Convex Algorithms for Clustering with Constraints
Flynn, Thomas	Problem-dependent convergence analysis for randomized linear gradient compression
Forel, Alexandre	Adaptive Partitioning for Chance-Constrained Problems with Finite Support
Forrester, Richard	Tightening Linear Reformulations of 0-1 Cubic Knapsack Problems with Variable Reordering
Fourer, Robert	Automatic Reformulations in AMPL’s New MP Solver Interface Library
Freund, Robert	Sublevel-Set Geometry and the Performance of restarted-PDHG for Linear and Conic Optimization Improving the Geometry of Linear and Conic Optimization Problems for restarted-PDHG
Fridovich-Keil, Sara	Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction
Friedland, Shmuel	Interior point method for tensor optimal transport, spectral radius of nonnegative tensors and hypergraphs
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Gamarnik, David	Performance and limitations of the QAOA at constant levels on large sparse hypergraphs and spin glass models
Gangammanavar, Harsha	Data-driven Policies for Multistage Stochastic Programming
Gao, Rui	Wasserstein Regularization for 0-1 Loss Decision-making with Side Information: A Causal Transport Robust Approach Regularization for Adversarial Robust Learning Adversarially Robust Optimal Control with Causal Transport Distance
Garcia, Raul	Strategy Investments in Matrix Games
Gardi, Frédéric	Hexaly, a new kind of global optimization solver
Ge, Dongdong	New Developments of ADMM-based Interior Point Methods for Linear Programming and Conic Programming
George, Erin	A Generalizable End-to-End Learning Approach for Global Optimization of Quadratically-Constrained Quadratic Programs
George, Ross	Exact Algorithm for Maximum Feasible Subsystem Problems with Uncertain Input Data
Georghiou, Angelos	Robust Data-driven Prescriptiveness Optimization
Gersing, Timo	Recycling Valid Inequalities for Robust Optimization
Ghadiri, Mehrdad	Impact of Uncertainty on Fairness
Ghuge, Rohan	Stochastic Scheduling: Strategies for Abandonment Management
Giannou, Angeliki	Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements
Gidel, Gauthier	Optimal Minimax Optimization and Variational Inequalities with Separable Structure Towards Provable Gradient Descent Ascent Dynamics in Hidden Structure
Gill, Philip	Second-Derivative SQP Methods for Nonconvex Nonlinear Optimization An LDLT Quasi-Newton Trust-Region Method
Giovannelli, Tommaso	Inexact bilevel stochastic gradient methods for constrained and unconstrained lower-level problems
Gomez, Andres	Gain Confidence, Reduce Disappointment: A New Approach to Cross-Validation for Sparse Regression On Polynomial-Time Solvability of Combinatorial Markov Random Fields
González-Araya, Marcela C.	Forecasting Market-Suitable Vegetables by Using a Decision Tree Algorithm
Goodwin, Ariel	Optimizing AC Power Flow by Exploiting the Power Flow Manifold
Grady, Dan	Tangent Subspace Descent on Quotient Manifolds
Granot, Daniel	Tight Bounds for The Price of Fairness
Grbcic, Luka	Machine learning enhanced meta-heuristic optimization algorithms for autonomous experimentation
Griffin, Kevin	Enabling Scale-up through Multi-fidelity Adaptive Computing
Grigas, Paul	Integrated Conditional Estimation-Optimization Beyond Discretization: Learning the Optimal Solution Path
Grimmer, Benjamin	Accelerated Gradient Descent via Long Steps Scalable Projection-Free Optimization Methods via MultiRadial Duality Theory Revisiting Spectral Bundle Methods: Primal-dual (Sub)linear Convergence Rates
Grundvig, Dane	LINE-SEARCH BASED OPTIMIZATION USING FUNCTION APPROXIMATIONS WITH TUNABLE ACCURACY
Gu, Quanquan	Optimal Minimax Optimization and Variational Inequalities with Separable Structure
Gunluk, Oktay	Fair Minimum Representation Clustering
Guo, Cheng	Risk-Aware Security-Constrained Unit Commitment
Guo, Ke	A New Fast Proximal Point Algorithm for Monotone Inclusions
Gupta, Akshita	Properties of Two-Stage Stochastic Multiobjective Linear Programs
Gupta, Aparna	Performance Risk Scoring of Risk-free Renewable Generation Bids
Gupta, Rishabh	Decomposition and adaptive sampling for data-driven inverse linear optimization
Gupta, S.K.	Optimality analysis and duality conditions for a class of conic semi-infinite program having vanishing constraints
Gupta, Shagun	Retrospective Approximation for Stochastic Constrained Problems Using Sequential Quadratic Programming
Gupta, Shiv Kumar	Sectoral portfolio optimization by judicious selection of financial ratios via PCA
Gupta, Swati	Impact of Uncertainty on Fairness
Gupta, Vishal	Beyond Discretization: Learning the Optimal Solution Path
Gurbuzbalaban, Mert	High probability and risk-averse guarantees for stochastic saddle point problems A Stochastic GDA Method with Backtracking for Solving Nonconvex (Strongly) Concave Minimax Problems
Gutman, David	Tangent Subspace Descent on Quotient Manifolds
Gómez-Lagos, Javier E	Forecasting Market-Suitable Vegetables by Using a Decision Tree Algorithm
H
H. Gutman, David	An Adaptive Block Proximal ADMM for Weakly Convex, Linearly-Constrained Composite Functions.
Ha, Yunsoo	First-order Trust-region Methods with Adaptive Sampling
Haas, Peter	Efficient Hybrid Simulation Optimization Via Graph Neural Network Metamodeling Package Queries for Massive-scale In-Database Decision Support
Haghtalab, Nika	Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents
Hamilton, Michael	Hicksian Unit-Demand Pricing
Han, Eojin	Nonlinear Decision Rules Made Scalable by Nonparametric Liftings
Han, Shaoning	On the number of pivots of Dantzig's simplex methods for linear and convex quadratic programs On Polynomial-Time Solvability of Combinatorial Markov Random Fields
Han, Yinbin	Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
Hanasusanto, Grani Adiwena	Wasserstein Robust Classification with Fairness Constraints Learning Fair Policies for Multi-stage Selection Problems from Observational Data
Hari, Sai Krishna Kanth	Joint Expansion Planning of Power and Water Distribution Networks
Hasan, Faruque	Edge-concave Underestimators and Relaxations for Deterministic Global Optimization
Hassani, Hamed	A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
Hatten, Noble	An infeasible interior-point arc-search algorithm for spacecraft trajectory optimization
He, Chuan	Deep Learning with Nontrivial Constraints
He, Niao	Generalization Performances in Nonconvex Minimax Optimization: A Comprehensive Study Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
He, Qinyang	Adaptive Optimization and Safe Reinforcement for Heparin Doseing
Heinkenschloss, Matthias	Adaptive Surrogate Modeling for Trajectory Optimization with Model Inexactness LINE-SEARCH BASED OPTIMIZATION USING FUNCTION APPROXIMATIONS WITH TUNABLE ACCURACY
Heintzmann, Alexandre	Handling polyhedral symmetries with a dedicated Branch&Cut: application to a knapsack variant
Henderson, Shane G.	Assessing Feasibility With Respect to Stochastic Constraints
Hendrych, Deborah	Network Design for the Traffic Assignment Problem with Mixed-Integer Frank-Wolfe
Hennebelle, Ulysse	Adaptivity Gaps in Two-sided Assortment Optimization
Hickman, Ethan	Quantum algorithms and software for nonconvex optimization
Hicks, Illya	Building Formulations for Combinatorial Disjunctive Constraints via Biclique Covers Integer programming formulations for partitioning a graph into low-diameter clusters
Hijazi, Hassan	Mathematical Modeling in Gravity: Lessons Learned
Hinder, Oliver	Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient Worst-case analysis of restarted primal-dual hybrid gradient on totally unimodular linear programs
Hirwa, Jusse	Optimizing design and dispatch of a renewable energy system with combined heat and power
Ho-Nguyen, Nam	Tangent Subspace Descent on Quotient Manifolds
Ho-Nguyen, Nam	Convex Optimization-based Algorithms for Strategic Classification
Hogan, William W.	Convex Hull Pricing in Electricity Markets: Evidence from a Large US Market
Holder, Allen	Classifying with Uncertain DEA
Hong, Mingyi	Min-Max Problems with Coupled Constraints: Theory and Algorithms
Hooker, John	Achieving Group Fairness through Social Welfare Optimization
Horesh, Lior	AI Hilbert: A New Paradigm for Scientific Discovery by Unifying Data and Background Knowledge
Hosseinian, Seyedmohammadhossein	On Integer Programs with Irrational Data Strategy Investments in Matrix Games
Hu, Haimin	Who Plays First?
Hu, Hao	Facial Reduction for Semidefinite Relaxations of Combinatorial Optimization Problems Computing implicit equalities of a linear inequality system
Hu, Jingwen	Robust Personalized Design via Bayesian Optimization under Covariate Uncertainty
Hu, Ming	Decision-making with Side Information: A Causal Transport Robust Approach
Hu, Yifan	Contextual Stochastic Bilevel Optimization Generalization Performances in Nonconvex Minimax Optimization: A Comprehensive Study
Huang, Baihe	Solving Tall Dense SDPs in the Current Matrix Multiplication Time
Huang, Hsin-Yuan	Local minima in quantum systems
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