Tutorial: A Unified Framework for Sequential Decisions Under Uncertainty (abstract)

A Trust Region Method for the Optimization of Noisy Functions (abstract)

Complexity Analysis of Trust-Region Optimization with Adaptive Sampling for Zeroth-Order Stochastic Oracles (abstract)

Analysis of Line Search and Trust Region Methods with Noise (abstract)

Efficient Implementation of Second-Order (Newton-like) Stochastic Optimization with Zeroth-Order or First-Order Information (abstract)

Stochastic first-order Algorithms for a class of non-Lipschitz variational inequalities (abstract)

Adaptivity and Optimism in Acceleration (abstract)

Distributed stochastic inertial-accelerated methods with delayed derivatives for nonconvex problems (abstract)

Solving cut-generating linear programs via machine learning (abstract)

Proximity Results In Mixed-integer Second Order Conic Programming (abstract)

On The Structure Of DD-representable MIPs With Application To Unit Commitment (abstract)

Second-Order Conic and Polyhedral Approximations of the Exponential Cone: Application to Mixed-Integer Exponential Conic Programs (abstract)

Using OR to Prioritize Transportation Network Resilience Investments (abstract)

Shared-Mobility-Based Evacuation Planning under Demand Uncertainty (abstract)

Drone-Network Queuing Optimization Model for Emergencies (abstract)

Determining Optimal Fuel Strategies Under Uncertainty (abstract)

Optimizing Cooperative Interdependent Attack Graphs to compromise cyberinfrastructures (abstract)

Multi-period Max Flow Network Interdiction with Restructuring for Disrupting Domestic Sex Trafficking Networks (abstract)

Best Response Intersection: An Optimal Algorithm for Interdiction Defense (abstract)

Network Interdiction Games with Heterogeneous Transportation and Interdiction Costs (abstract)

Machine Learning and Optimization for Engineering (abstract)

ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs (abstract)

Optimization under rare chance constraints (abstract)

A risk-averse and chance-constrained two-stage stochastic programming model for pharmaceutical supply chain management under demand uncertainty (abstract)

Stochastic lot-sizing with substitution and service level constraints (abstract)

Derivative-Free Optimization via Adaptive Sampling Strategies (abstract)

A Derivative-Free Algorithm for Least-Squares that Exploits Prior Simulation Outputs (abstract)

Stochastic Zeroth-order Riemannian Derivative Estimation and Optimization (abstract)

SGD in the Large: Exact Dynamics, Average-case Analysis, and Stepsize Criticality (abstract)

Sharp convergence guarantees for iterative algorithms in random optimization problems (abstract)

Overparameterized learning beyond the lazy regime (abstract)

Algorithmic Regularization in Model-free Overparametrized Matrix Factorization (abstract)

A new perspective on low-rank optimization (abstract)

A Graph-based Decomposition Method for Convex Quadratic Optimization with Indicators (abstract)

The backbone method for ultra-high dimensional sparse machine learning (abstract)

Distributionally Robust Optimization Approaches for a Stochastic Mobile Facility Routing and Scheduling Problem (abstract)

Learning Model Predictive Controllers for Real-Time Ride-Hailing Vehicle Relocation and Pricing Decisions (abstract)

Optimal Transportation Mode Selection and Capacity Allocation under Uncertainty (abstract)

Scheduling Mobile Parcel Lockers Under Customer Choice (abstract)

An Exact Optimization Approach for Relay Node Location in Wireless Sensor Networks (abstract)

Formulations of the max k-cut problem on classical and quantum computers (abstract)

Maximizing Node Activation Network Flow Problems under Non-simultaneous Flow Assumptions (abstract)

On Data-Driven Prescriptive Analytics with Side Information: A Regularized Nadaraya-Watson Approach (abstract)

Convex Chance-Constrained Programs with Wasserstein Ambiguity (abstract)

Markov chain-based policies for multi-stage stochastic integer linear programming with an application to disaster relief logistics (abstract)

Reward-Risk Ratio Optimization under Copula-Based Wasserstein Ambiguity (abstract)

On a bilevel optimization approach to fair classification (abstract)

Bilevel stochastic methods for optimization and machine learning: Bilevel stochastic descent and DARTS (abstract)

Bi-level Optimization for Robust and Efficient Learning (abstract)

Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data (abstract)

Structured Local Solutions in Some Nonconvex Problems (abstract)

Clustering a mixture of Gaussians with unknown covariance (abstract)

A superlinearly convergent subgradient method for sharp semismooth problems (abstract)

Comparing Solution Paths of Sparse Quadratic Minimization with a Stieltjes Matrix (abstract)

An Abstract Model for Branch-and-Cut (abstract)

Computational Comparison of Exact Solution Methods for 0-1 Quadratic Programs: Recommendations for Practitioners (abstract)

Multi-Module Capacitated Lot-Sizing Problem, and its Generalizations with Two-Echelons and Piecewise Concave Production Costs (abstract)

Online Learning and Pricing for Service Systems with Reusable Resources (abstract)

Online Stochastic Optimization with Wasserstein Based Non-stationarity (abstract)

Optimal Robust Classification Trees (abstract)

Convex Hull Results on Quadratic Programs with Non-Intersecting Constraints (abstract)

Micro-grid Planning With Aggregator's Role In The Renewable Inclusive Prosumer Market (abstract)

Faster First-Order Primal-Dual Methods for Linear Programming using Restarts and Sharpness (abstract)

Copositive Duality for Discrete Markets and Games (abstract)

Distributionally risk-receptive and risk-averse network interdiction problems with general ambiguity set (abstract)

Distributionally Robust Two-Stage Convex Quadratic Programming (abstract)

Effective scenarios in Two-stage DRO: properties and acceleration of decomposition algorithms (abstract)

Two-stage stochastic programs with nonconvex recourse (abstract)

Algorithms for DC Programs based on Difference-of-Moreau-Envelopes Smoothing (abstract)

Generalized ADMM Framework for Non-overlapping Group Selection (abstract)

Asymptotics of Stochastic Gradient Descent for Nonconvex Objectives with General Noise Models (abstract)

On Arbitrary Compression for Decentralized Consensus and Stochastic Optimization over Directed Networks (abstract)

Fast and Exact Matrix Factorization Updates for Nonlinear Programming (abstract)

A Linear Outer Approximation of Line Losses for DC-based Optimal Power Flow Problems (abstract)

Joint Chance-Constrained Predictive Generation and Line Maintenance Planning with Operations Scheduling under Sensor-Driven Failure Uncertainty (abstract)

Tightening Quadratic Convex Relaxations for the AC Optimal Transmission Switching Problem (abstract)

Improving Microgrid Energy Management with storage via Stochastic Optimization and Machine Learning (abstract)

On the Value of Multistage Stochastic Facility Location with Risk Aversion (abstract)

An Active-set Method For Two-Stage Stochastic Quadratic Programming (abstract)

On Finite Adaptability in Two-stage Distributionally Robust Optimization (abstract)

LP-based Approximations for Disjoint Bilinear and Two-Stage Adjustable Robust Optimization (abstract)

On computing with some convex relaxations for the maximum-entropy sampling problem (abstract)

Tridiagonal Maximum-Entropy Sampling and Tridiagonal Masks (abstract)

Gaining or Losing Perspective (abstract)

Gaining or Losing Perspective for Convex Multivariate Functions (abstract)

A Decision Rule Approach for Two-Stage Data-Driven Distributionally Robust Optimization Problems with Random Recourse (abstract)

DFO: A Robust Framework for Data-driven Decision-making with Outliers (abstract)

Learning and Decision-Making with Data : Optimal Formulations and Phase Transitions (abstract)

Decision Rule Approaches for Distributionally Robust Stochastic Bilevel Linear Programs (abstract)

SQP Methods for Nonlinear Equality Constrained Stochastic Optimization (abstract)

Accelerating Stochastic Sequential Quadratic Programming for Equality Constrained Stochastic Optimization using Predictive Variance Reduction (abstract)

High Probability Complexity Bounds for Line Search Based on Stochastic Oracles (abstract)

Worst-Case Complexity of an SQP Method for Nonlinear Equality Constrained Stochastic Optimization (abstract)

On the Complexity of a Practical Primal-Dual Coordinate Method (abstract)

Regularized Step Directions in Conjugate Gradient Minimization (abstract)

p-Norm Flow Diffusion for Local Graph Clustering (abstract)

Survey Descent: A Multipoint Generalization of Gradient Descent for Nonsmooth Optimization (abstract)

On Polytopes with Linear Rank with respect to Generalizations of the Split Closure (abstract)

A reinterpretation of cutting planes (abstract)

Extended Relaxation and Cutting-planes for Linear Programs with Complementarity Constraints (abstract)

Modeling Disjunctive Constraints via Junction Trees (abstract)

Resiliency of on-demand multimodal transit systems during a pandemic (abstract)

Iterative Approaches for Integrating Rider Behavior into the Design of Large-Scale On-Demand Multimodal Transit Systems (abstract)

Plan Your System and Price for Free: Fast Algorithms for Multimodal Transit Operations (abstract)

Pricing in On-Demand (and One-Way) Vehicle Sharing Networks (abstract)

A Generalized Primal-Dual Algorithm Framework for Saddle Point Problems (abstract)

Mixed Integer Linear Optimization Formulations for Learning Optimal Binary Classification Trees (abstract)

Investigating the Impact of Preprocessing on Quantum Algorithms (abstract)

The ARPA-E Grid Optimization Competition (abstract)

On Generating Lagrangian Cuts for Two-Stage Stochastic Integer Programs (abstract)

Projection Cuts for Two-Stage Stochastic Mixed-Integer Programs (abstract)

Dual Dynamic Programming for Data Driven Distributionally Robust Multistage Convex Optimization (abstract)

Computation Efficient Stochastic Optimization for Variable Efficiency Energy Storage (abstract)

A Deep Reinforcement Learning Approach to Solving the Multidimensional Knapsack Problem (abstract)

A Top-Down Approach Toward Understanding Deep Learning (abstract)

Private Federated Learning Without a Trusted Server (abstract)

Private optimization in the interpolation regime: faster rates and hardness results (abstract)

Optimal Methods for Risk Averse Distributed Optimization (abstract)

Katyusha Acceleration for Convex Finite-Sum Compositional Optimization (abstract)

First and zeroth-order methods for constrained nonconvex optimization (abstract)

Tight Guarantees for Multi-unit Prophet Inequalities and Online Stochastic Knapsack (abstract)

Robust online selection with uncertain offer acceptance (abstract)

Joint Routing of Conventional and Range-Extended Electric Vehicles in a Large Metropolitan Network (abstract)

Incorporating Intuition in Last-Mile Routing (abstract)

Stochastic Optimization Models for a Home Service Routing and Appointment Scheduling Problem with Random Travel and Service Times (abstract)

Efficient Algorithms for Stochastic Ridepooling Assignment with Mixed Fleets (abstract)

Stochastic approximate cutting plane algorithms for continuous DR-submodular Maximization (abstract)

High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids (abstract)

Algorithms for Computing Diverse Sets of Near-Optimal Solutions to Mixed-Integer Optimization Problems (abstract)

A global optimization framework with machine learning models to inform early termination (abstract)

The Extreme of Interpretability in Machine Learning (abstract)

Optimal Robust Policy for Feature-Based Newsvendor (abstract)

Data-driven Multistage Distributionally Robust Optimization (abstract)

Adjustability in Robust Linear Optimization (abstract)

Rockafellian Relaxation in Optimization under Uncertainty: Consistent Alternatives to Robust Formulations (abstract)

Conjugate gradient methods for nonconvex optimization (abstract)

Retrospective Approximation For Smooth Stochastic Approximation (abstract)

Implicit Regularization of Sub-gradient Method in Robust Matrix Recovery (abstract)

Algorithms for Nonconvex Probabilistic PCA for Data With Heteroscedastic Noise (abstract)

Efficient Sequential Experiment Design for Generalized Linear Models (abstract)

On the convex hull of convex quadratic optimization with indicators (abstract)

Integer Programming for Causal Structure Learning in the Presence of Latent Variables (abstract)

Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features (abstract)

Toward Linear Convergence for Non-Smooth Optimization: Implications for Discrete Optimization Problems (abstract)

Multi-angle Quantum Approximate Optimization Algorithm (abstract)

Deepest Cuts for Benders Decomposition (abstract)

Motion Planning for Drone Fleets using MINLP (abstract)

Federated Learning with Heterogeneous Data: A Superquantile Optimization Approach (abstract)

Quantity-Contingent Auctions and Allocation of Airport Slots (abstract)

Managing Misinformation on Social Media during Disasters: Machine Learning and Game-Theoretic Approaches (abstract)

On the Convergence of Generalized Proximal Point Algorithms for Monotone Inclusion Problems (abstract)

Multiplicative Gradient Method: Theory and Applications (abstract)

Robust Interior Point Methods for Quantum Key Rate Computation for Quantum Key Distribution (abstract)

A Strengthened Barvinok-Pataki Bound on SDP Rank (abstract)

Approximating Optimal Solutions to Biconvex Parametric Programs (abstract)

A Lagrangian Dual Method for Two-Stage Robust Optimization with Binary Uncertainties (abstract)

Distributionally Robust Optimization with Decision-Dependent Information Discovery (abstract)

On the Power of Static Assignment Policies for Robust Facility Location Problems (abstract)

A New Randomized Primal-Dual Algorithm for Convex Optimization with Optimal Last Iterate Rates (abstract)

Decentralized Composite Optimization with Compression (abstract)

Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework (abstract)

Backtracking line search for nonlinear composite problems and applications (abstract)

Sparse PCA: A New Scalable Estimator Based On Integer Programming (abstract)

Beyond Symmetry: Best Submatrix Selection for the Sparse Truncated SVD (abstract)

Integer Programming Approaches to Subspace Clustering with Missing Data (abstract)

Interpretable Clustering via Multi-Polytope Machines (abstract)

Submodular Information Measures in Machine Learning (abstract)

On constrained mixed-integer DR-submodular minimization (abstract)

Exact Formulation and Partitioning of the General Rank Aggregation Problem (abstract)

Approximate Condorcet Partitioning: Solving Very Large Rank Aggregation Problems at Scale (abstract)

A Risk-Averse Multi-stage Stochastic Optimization Approach to the EAB Epidemic Problem in the US Forests (abstract)

A bi-objective covering tour problem to locate ballot drop boxes (abstract)

Routing and resource allocation in non-profit settings with equity and efficiency measures under demand uncertainty (abstract)

Optimization of worker schedules to maintenance tasks (abstract)

Edge-based Districting without Predetermined Centers: Model and Network Insights (abstract)

Bilevel models for location-based pricing problems in online retail (abstract)

Modeling and Duality in Domain Specific Languages for Mathematical Optimization (abstract)

Column-Randomized Linear Programs: Performance Guarantees and Applications (abstract)

Self-guided Approximate Linear Programs (abstract)

Algorithms for Optimal Genetic Testing of Families (abstract)

Locating Charging Stations for Battery Electric Buses: a Data-Driven Optimization Approach (abstract)

A Globally Convergent Distributed Jacobi Scheme for Block-Structured Nonconvex Constrained Optimization Problems (abstract)

Some Strongly Polynomially Solvable Convex Quadratic Programs with Bounded Variables (abstract)

Optimal Algorithms for Differentially Private Monotone Stochastic Variational Inequalities (abstract)

On the analytic reparametrization of the central path of semidefinite optimization (abstract)

Sparse Multivariate Mixture of Experts for analyzing Marine Microbial Systems (abstract)

Optimal Data-Driven Optimization with Noisy Data (abstract)

Distributionally Robust End-to-End Portfolio Construction (abstract)

Multi-Item Online Order Fulfillment in a Two-Layer Network (abstract)

A Heuristic Approach for a Districting Application on On-time Last-mile Express Delivery Services (abstract)

Enhancing the Small-Signal Stability of Islanded Microgrids under Droop Control (abstract)

An Exact Method for Maintenance Planning Optimization in Nuclear Power Plants (abstract)

An Open and Realistic Large-Scale Stochastic Unit Commitment Case: Data and Experimental Baseline (abstract)

Optimization of crop insurance policy selection and fertilizer management with water quality impacts (abstract)

Adaptive partition‐based SDDP algorithms for multistage stochastic linear programming (abstract)

Exact Benders Adaptive-cut Method for Two-Stage Stochastic Programs (abstract)

Energy Storage Management Strategies under Uncertain Generation (abstract)

Nonnegative Tensor Completion Via Integer Optimization (abstract)

Stratifying Online Field Experiments Using The Pigeonhole Design (abstract)

A General Approach to Solve Shape-Constrained Distributionally Robust Optimization via Importance-Weighted Sample Average Approximation (abstract)

Rockafellian Functions: Theory and Applications (abstract)

On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport (abstract)

Complexity Bounds of Iterative Linearization Algorithms for Discrete Time Nonlinear Control (abstract)

Reformulation-Perspectification Technique: General Methodology (abstract)

Nonconvex-Nonconcave Min-Max Optimization with a Small Maximization Domain (abstract)

Fast Rates for Contextual Linear Optimization (abstract)

Learning Treatment Effects in Panels with General Intervention Patterns (abstract)

bsnsing: A decision tree induction method based on recursive optimal boolean rule composition (abstract)

An Algorithm for Biobjective Mixed Integer Quadratic Programs (abstract)

Characterizing and Benchmarking QUBO Reformulations of the Knapsack Problem (abstract)

An LP-based characterization of solvable QAP instances with chess-board and graded structures (abstract)

Integer Programming Methods to Identify Nash Equilibrium Solutions for Platform Based Scheduling Games (abstract)

Using Multicriteria Optimization and Simulated Annealing to Construct Political Districts (abstract)

Application of Decomposition and Coordination Techniques on Multiobjective Engineering Design Problems (abstract)

MOSDEX: Proposal for A New Standard for Data Exchange with Optimization Solvers (abstract)

Getting to the Scenes Faster: Facilitating the Movement of Multiple Emergency Response Vehicles in Two-way Roadways (abstract)

Non-Adaptive Stochastic Score Classification and Explainable Halfspace Evaluation (abstract)

Evaluation of Waste Disposal Alternatives in Healthcare Systems (abstract)

Stochastic Job-Shop Scheduling: Implications on Supply-Chain Operations under Uncertainty (abstract)

Capacity Expansion for Deferred Surgeries via Robust Optimization (abstract)