IOS2022: INFORMS OPTIMIZATION SOCIETY CONFERENCE 2022

This page contains an index consisting of author-provided keywords.

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(Gauss-)Newton methods	A Derivative-Free Algorithm for Least-Squares that Exploits Prior Simulation Outputs
(Weakly-)convex composite	Backtracking line search for nonlinear composite problems and applications
A
Acceleration techniques	Deepest Cuts for Benders Decomposition
Active-set	An Active-set Method For Two-Stage Stochastic Quadratic Programming
adaptive mesh refinement	Approximating Optimal Solutions to Biconvex Parametric Programs
Adaptive Sampling	Derivative-Free Optimization via Adaptive Sampling Strategies Retrospective Approximation For Smooth Stochastic Approximation
Adaptive-partition Method	Exact Benders Adaptive-cut Method for Two-Stage Stochastic Programs
adaptivity	Non-Adaptive Stochastic Score Classification and Explainable Halfspace Evaluation
Adjustable robust optimization	Adjustability in Robust Linear Optimization Optimal Robust Policy for Feature-Based Newsvendor
ADMM	Generalized ADMM Framework for Non-overlapping Group Selection
Advanced Manufacturing	Stochastic Job-Shop Scheduling: Implications on Supply-Chain Operations under Uncertainty
Aggregators	Micro-grid Planning With Aggregator's Role In The Renewable Inclusive Prosumer Market
airport slot allocation	Quantity-Contingent Auctions and Allocation of Airport Slots
algorithmic regularization	Algorithmic Regularization in Model-free Overparametrized Matrix Factorization
algorithms	Investigating the Impact of Preprocessing on Quantum Algorithms
Alternating Direction Method of Multipliers	Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework
Alternating projections	Clustering a mixture of Gaussians with unknown covariance
Analytical solution algorithm	Computation Efficient Stochastic Optimization for Variable Efficiency Energy Storage
Applications of Stochastic Gradient	Stochastic approximate cutting plane algorithms for continuous DR-submodular Maximization
approximate	Self-guided Approximate Linear Programs
Approximate cutting plane	Stochastic approximate cutting plane algorithms for continuous DR-submodular Maximization
Approximate dynamic programming	Algorithms for Optimal Genetic Testing of Families
Approximation algorithm	Efficient Algorithms for Stochastic Ridepooling Assignment with Mixed Fleets
Approximation Algorithms	Beyond Symmetry: Best Submatrix Selection for the Sparse Truncated SVD On the Power of Static Assignment Policies for Robust Facility Location Problems LP-based Approximations for Disjoint Bilinear and Two-Stage Adjustable Robust Optimization On the Value of Multistage Stochastic Facility Location with Risk Aversion
Assignment Problems	Toward Linear Convergence for Non-Smooth Optimization: Implications for Discrete Optimization Problems
Asymptotic Cone	Convex Hull Results on Quadratic Programs with Non-Intersecting Constraints
Asymptotics	Asymptotics of Stochastic Gradient Descent for Nonconvex Objectives with General Noise Models
attack graphs	Optimizing Cooperative Interdependent Attack Graphs to compromise cyberinfrastructures
attack trees	Optimizing Cooperative Interdependent Attack Graphs to compromise cyberinfrastructures
auction	Quantity-Contingent Auctions and Allocation of Airport Slots
augmented Lagrangian	Backtracking line search for nonlinear composite problems and applications A Globally Convergent Distributed Jacobi Scheme for Block-Structured Nonconvex Constrained Optimization Problems
augmented Lagrangian Method	Algorithms for DC Programs based on Difference-of-Moreau-Envelopes Smoothing
B
backtracking	A reinterpretation of cutting planes Backtracking line search for nonlinear composite problems and applications
Barvinok-Pataki Bound	A Strengthened Barvinok-Pataki Bound on SDP Rank
Battery electric buses	Locating Charging Stations for Battery Electric Buses: a Data-Driven Optimization Approach
Benchmarking	An Open and Realistic Large-Scale Stochastic Unit Commitment Case: Data and Experimental Baseline
Benders Decomposition	On The Structure Of DD-representable MIPs With Application To Unit Commitment Projection Cuts for Two-Stage Stochastic Mixed-Integer Programs Deepest Cuts for Benders Decomposition Exact Benders Adaptive-cut Method for Two-Stage Stochastic Programs
Benders’ decomposition	Effective scenarios in Two-stage DRO: properties and acceleration of decomposition algorithms
Bi-level programming	Best Response Intersection: An Optimal Algorithm for Interdiction Defense
Bi-objective Optimization	A bi-objective covering tour problem to locate ballot drop boxes
biconvex optimization	Approximating Optimal Solutions to Biconvex Parametric Programs
bilevel optimization	Bilevel models for location-based pricing problems in online retail On a bilevel optimization approach to fair classification Optimization under rare chance constraints Bilevel stochastic methods for optimization and machine learning: Bilevel stochastic descent and DARTS
Bilievel Optimization	ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs
Binary quadratic programs	Computational Comparison of Exact Solution Methods for 0-1 Quadratic Programs: Recommendations for Practitioners
binary recourse variables	Distributionally Robust Optimization with Decision-Dependent Information Discovery
binary uncertainty	A Lagrangian Dual Method for Two-Stage Robust Optimization with Binary Uncertainties
Biobjective mixed integer optimization	An Algorithm for Biobjective Mixed Integer Quadratic Programs
black-box attack	Stochastic Zeroth-order Riemannian Derivative Estimation and Optimization
Boolean quadric polytope	Extended Relaxation and Cutting-planes for Linear Programs with Complementarity Constraints
bounds and approximations	Pricing in On-Demand (and One-Way) Vehicle Sharing Networks
Branch and Bound	Algorithms for Computing Diverse Sets of Near-Optimal Solutions to Mixed-Integer Optimization Problems
Branch and cut	Second-Order Conic and Polyhedral Approximations of the Exponential Cone: Application to Mixed-Integer Exponential Conic Programs
branch-and-bound	An Abstract Model for Branch-and-Cut
Branch-and-bound algorithm	Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features
branch-and-cut	Edge-based Districting without Predetermined Centers: Model and Network Insights Mixed Integer Linear Optimization Formulations for Learning Optimal Binary Classification Trees Scheduling Mobile Parcel Lockers Under Customer Choice
Branching	An Algorithm for Biobjective Mixed Integer Quadratic Programs
Brownian field	High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids
C
capacitated facility location	On the Value of Multistage Stochastic Facility Location with Risk Aversion
capacitated lot-sizing	Multi-Module Capacitated Lot-Sizing Problem, and its Generalizations with Two-Echelons and Piecewise Concave Production Costs
cardiac arrest	Drone-Network Queuing Optimization Model for Emergencies
Causal Inference	Learning Treatment Effects in Panels with General Intervention Patterns Integer Programming for Causal Structure Learning in the Presence of Latent Variables
Chance Constraint	Stochastic lot-sizing with substitution and service level constraints ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs
Chance constraints	Locating Charging Stations for Battery Electric Buses: a Data-Driven Optimization Approach Optimization under rare chance constraints Convex Chance-Constrained Programs with Wasserstein Ambiguity
Chance-constrained programming	A risk-averse and chance-constrained two-stage stochastic programming model for pharmaceutical supply chain management under demand uncertainty
Charging station deployment	Locating Charging Stations for Battery Electric Buses: a Data-Driven Optimization Approach
class imbalance	A Top-Down Approach Toward Understanding Deep Learning
Classification Trees	bsnsing: A decision tree induction method based on recursive optimal boolean rule composition
closed queueing networks	Pricing in On-Demand (and One-Way) Vehicle Sharing Networks
clustering	Interpretable Clustering via Multi-Polytope Machines Clustering a mixture of Gaussians with unknown covariance p-Norm Flow Diffusion for Local Graph Clustering
coherent risk measure	On the Value of Multistage Stochastic Facility Location with Risk Aversion
column generation	Integer Programming Approaches to Subspace Clustering with Missing Data
Combinatorial & Submodular Optimization	Submodular Information Measures in Machine Learning
Combinatorial Algorithms	Network Interdiction Games with Heterogeneous Transportation and Interdiction Costs
combinatorial auction	Quantity-Contingent Auctions and Allocation of Airport Slots
combinatorial optimization	Mixed Integer Linear Optimization Formulations for Learning Optimal Binary Classification Trees A Deep Reinforcement Learning Approach to Solving the Multidimensional Knapsack Problem An LP-based characterization of solvable QAP instances with chess-board and graded structures
Communication Complexity	Optimal Methods for Risk Averse Distributed Optimization
Communication compression	Decentralized Composite Optimization with Compression
competitive ratio	Multi-Item Online Order Fulfillment in a Two-Layer Network Tight Guarantees for Multi-unit Prophet Inequalities and Online Stochastic Knapsack
Complementarity constraints	Extended Relaxation and Cutting-planes for Linear Programs with Complementarity Constraints
complexity bound	High Probability Complexity Bounds for Line Search Based on Stochastic Oracles
Composite optimization	Decentralized Composite Optimization with Compression
Compressed Communications	On Arbitrary Compression for Decentralized Consensus and Stochastic Optimization over Directed Networks
computational optimization	MOSDEX: Proposal for A New Standard for Data Exchange with Optimization Solvers Regularized Step Directions in Conjugate Gradient Minimization Motion Planning for Drone Fleets using MINLP
Computational social choice	Exact Formulation and Partitioning of the General Rank Aggregation Problem
Conditional Value at Risk	Federated Learning with Heterogeneous Data: A Superquantile Optimization Approach
Condorcet Criterion	Exact Formulation and Partitioning of the General Rank Aggregation Problem
Conic Integer Programming	Proximity Results In Mixed-integer Second Order Conic Programming
Conic optimization	Reformulation-Perspectification Technique: General Methodology
Conjugate gradient	Conjugate gradient methods for nonconvex optimization
conjugate gradient methods	Regularized Step Directions in Conjugate Gradient Minimization
Connected vehicle technology	Getting to the Scenes Faster: Facilitating the Movement of Multiple Emergency Response Vehicles in Two-way Roadways
consistency	A reinterpretation of cutting planes
constrained convex optimization	A New Randomized Primal-Dual Algorithm for Convex Optimization with Optimal Last Iterate Rates
Constrained Optimization	Accelerating Stochastic Sequential Quadratic Programming for Equality Constrained Stochastic Optimization using Predictive Variance Reduction
constraint programming	A reinterpretation of cutting planes
constraint sampling	Column-Randomized Linear Programs: Performance Guarantees and Applications
Contextual decision-making	Optimal Robust Policy for Feature-Based Newsvendor
contextual information	On Data-Driven Prescriptive Analytics with Side Information: A Regularized Nadaraya-Watson Approach
Contextual stochastic optimization	Fast Rates for Contextual Linear Optimization
Contingency modality activation	Markov chain-based policies for multi-stage stochastic integer linear programming with an application to disaster relief logistics
Continuous features	Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features
continuous greedy	Stochastic approximate cutting plane algorithms for continuous DR-submodular Maximization
Continuous location problems	An Exact Optimization Approach for Relay Node Location in Wireless Sensor Networks
continuous optimization	SGD in the Large: Exact Dynamics, Average-case Analysis, and Stepsize Criticality
Contraflow	Getting to the Scenes Faster: Facilitating the Movement of Multiple Emergency Response Vehicles in Two-way Roadways
Convergence	Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework
Convergence rate	Stochastic first-order Algorithms for a class of non-Lipschitz variational inequalities
convergence rates	High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids
Convex hull	On constrained mixed-integer DR-submodular minimization Convex Hull Results on Quadratic Programs with Non-Intersecting Constraints Extended Relaxation and Cutting-planes for Linear Programs with Complementarity Constraints
Convex Integer Program	Efficient Sequential Experiment Design for Generalized Linear Models
convex optimization	Distributionally Robust End-to-End Portfolio Construction Nonnegative Tensor Completion Via Integer Optimization p-Norm Flow Diffusion for Local Graph Clustering
convex quadratic optimization	A Graph-based Decomposition Method for Convex Quadratic Optimization with Indicators
convex relaxation	Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data On computing with some convex relaxations for the maximum-entropy sampling problem
convex underestimation	Scheduling Mobile Parcel Lockers Under Customer Choice
Convexification	On the convex hull of convex quadratic optimization with indicators
Convexity	Convex Chance-Constrained Programs with Wasserstein Ambiguity
coordinate descent	On the Complexity of a Practical Primal-Dual Coordinate Method
copositive programming	Copositive Duality for Discrete Markets and Games A Decision Rule Approach for Two-Stage Data-Driven Distributionally Robust Optimization Problems with Random Recourse
Copula-based Wasserstein Ambiguity	Reward-Risk Ratio Optimization under Copula-Based Wasserstein Ambiguity
Covering Tour Problem	A bi-objective covering tour problem to locate ballot drop boxes
COVID-19	Resiliency of on-demand multimodal transit systems during a pandemic
curse of dimensionality	High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids
Cut-generating linear programs	Solving cut-generating linear programs via machine learning
Cutting plane	Stochastic approximate cutting plane algorithms for continuous DR-submodular Maximization
cutting planes	On Polytopes with Linear Rank with respect to Generalizations of the Split Closure A reinterpretation of cutting planes An Abstract Model for Branch-and-Cut Deepest Cuts for Benders Decomposition
Cutting-plane	Extended Relaxation and Cutting-planes for Linear Programs with Complementarity Constraints
CVaR	ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs
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DARTS	Bilevel stochastic methods for optimization and machine learning: Bilevel stochastic descent and DARTS
Data classification	Solving cut-generating linear programs via machine learning
Data Science	Micro-grid Planning With Aggregator's Role In The Renewable Inclusive Prosumer Market
Data Summarization	Submodular Information Measures in Machine Learning
data-driven	Online Stochastic Optimization with Wasserstein Based Non-stationarity
Data-Driven Decisions	Learning and Decision-Making with Data : Optimal Formulations and Phase Transitions Optimal Data-Driven Optimization with Noisy Data
data-driven optimization	Incorporating Intuition in Last-Mile Routing
DC approximation	A Linear Outer Approximation of Line Losses for DC-based Optimal Power Flow Problems
Decentralization	Micro-grid Planning With Aggregator's Role In The Renewable Inclusive Prosumer Market
Decentralized algorithm	Decentralized Composite Optimization with Compression
Decentralized Consensus	On Arbitrary Compression for Decentralized Consensus and Stochastic Optimization over Directed Networks
Decentralized Optimization	On Arbitrary Compression for Decentralized Consensus and Stochastic Optimization over Directed Networks
Decision Diagrams	On The Structure Of DD-representable MIPs With Application To Unit Commitment
decision rules	Adjustability in Robust Linear Optimization
decision-dependent information discovery	Distributionally Robust Optimization with Decision-Dependent Information Discovery
Decomposition	Two-stage stochastic programs with nonconvex recourse Distributionally Robust Optimization Approaches for a Stochastic Mobile Facility Routing and Scheduling Problem
Decomposition algorithm	Distributionally Robust Optimization with Decision-Dependent Information Discovery Distributionally risk-receptive and risk-averse network interdiction problems with general ambiguity set A Decision Rule Approach for Two-Stage Data-Driven Distributionally Robust Optimization Problems with Random Recourse
decomposition method	A Graph-based Decomposition Method for Convex Quadratic Optimization with Indicators
decomposition methods	Maximizing Node Activation Network Flow Problems under Non-simultaneous Flow Assumptions
deep learning	A Top-Down Approach Toward Understanding Deep Learning
Deep Reinforcement Learning	A Deep Reinforcement Learning Approach to Solving the Multidimensional Knapsack Problem
Defender-attacker-defender models	Best Response Intersection: An Optimal Algorithm for Interdiction Defense
delayed (sub)gradient	Distributed stochastic inertial-accelerated methods with delayed derivatives for nonconvex problems
delivery planning	Joint Routing of Conventional and Range-Extended Electric Vehicles in a Large Metropolitan Network
demand learning	Online Learning and Pricing for Service Systems with Reusable Resources
Demand uncertainty	Distributionally Robust Optimization Approaches for a Stochastic Mobile Facility Routing and Scheduling Problem
derivative-free optimization	Derivative-Free Optimization via Adaptive Sampling Strategies A Derivative-Free Algorithm for Least-Squares that Exploits Prior Simulation Outputs Complexity Analysis of Trust-Region Optimization with Adaptive Sampling for Zeroth-Order Stochastic Oracles
Descent direction	Backtracking line search for nonlinear composite problems and applications
diagonal dominance	Some Strongly Polynomially Solvable Convex Quadratic Programs with Bounded Variables
difference-of-convex program	Algorithms for DC Programs based on Difference-of-Moreau-Envelopes Smoothing
differential privacy	Optimal Algorithms for Differentially Private Monotone Stochastic Variational Inequalities Private Federated Learning Without a Trusted Server
diffusion methods	p-Norm Flow Diffusion for Local Graph Clustering
Directional stationarity	Generalized ADMM Framework for Non-overlapping Group Selection
Disaster	Using OR to Prioritize Transportation Network Resilience Investments
Disaster relief logistics	Markov chain-based policies for multi-stage stochastic integer linear programming with an application to disaster relief logistics
Discrete Optimization	Stochastic Job-Shop Scheduling: Implications on Supply-Chain Operations under Uncertainty Approximate Condorcet Partitioning: Solving Very Large Rank Aggregation Problems at Scale Exact Formulation and Partitioning of the General Rank Aggregation Problem An Exact Method for Maintenance Planning Optimization in Nuclear Power Plants Optimization of worker schedules to maintenance tasks Toward Linear Convergence for Non-Smooth Optimization: Implications for Discrete Optimization Problems A Heuristic Approach for a Districting Application on On-time Last-mile Express Delivery Services
discrete-time nonlinear control	Complexity Bounds of Iterative Linearization Algorithms for Discrete Time Nonlinear Control
Disjoint bilinear programming	LP-based Approximations for Disjoint Bilinear and Two-Stage Adjustable Robust Optimization
Disjunctive Constraints	Modeling Disjunctive Constraints via Junction Trees
Disjunctive programming	Extended Relaxation and Cutting-planes for Linear Programs with Complementarity Constraints
distributed optimization	Federated Learning with Heterogeneous Data: A Superquantile Optimization Approach A Generalized Primal-Dual Algorithm Framework for Saddle Point Problems Private Federated Learning Without a Trusted Server A Globally Convergent Distributed Jacobi Scheme for Block-Structured Nonconvex Constrained Optimization Problems Optimal Methods for Risk Averse Distributed Optimization
distributed parallelization	Distributed stochastic inertial-accelerated methods with delayed derivatives for nonconvex problems
distribution shift	Optimal Robust Classification Trees
Distributionally Favorable Optimization	DFO: A Robust Framework for Data-driven Decision-making with Outliers
Distributionally optimistic optimization	Convex Chance-Constrained Programs with Wasserstein Ambiguity
Distributionally risk-receptive	Distributionally risk-receptive and risk-averse network interdiction problems with general ambiguity set
Distributionally Robust	ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs
Distributionally Robust Optimization	Learning and Decision-Making with Data : Optimal Formulations and Phase Transitions Reward-Risk Ratio Optimization under Copula-Based Wasserstein Ambiguity Effective scenarios in Two-stage DRO: properties and acceleration of decomposition algorithms Locating Charging Stations for Battery Electric Buses: a Data-Driven Optimization Approach Distributionally Robust End-to-End Portfolio Construction Optimal Data-Driven Optimization with Noisy Data A General Approach to Solve Shape-Constrained Distributionally Robust Optimization via Importance-Weighted Sample Average Approximation DFO: A Robust Framework for Data-driven Decision-making with Outliers Data-driven Multistage Distributionally Robust Optimization Distributionally Robust Optimization with Decision-Dependent Information Discovery Distributionally risk-receptive and risk-averse network interdiction problems with general ambiguity set Capacity Expansion for Deferred Surgeries via Robust Optimization On Finite Adaptability in Two-stage Distributionally Robust Optimization Distributionally Robust Two-Stage Convex Quadratic Programming A Decision Rule Approach for Two-Stage Data-Driven Distributionally Robust Optimization Problems with Random Recourse Decision Rule Approaches for Distributionally Robust Stochastic Bilevel Linear Programs On Data-Driven Prescriptive Analytics with Side Information: A Regularized Nadaraya-Watson Approach Convex Chance-Constrained Programs with Wasserstein Ambiguity
districting	A Heuristic Approach for a Districting Application on On-time Last-mile Express Delivery Services
Diverse Near-Optimal Solutions	Algorithms for Computing Diverse Sets of Near-Optimal Solutions to Mixed-Integer Optimization Problems
Diversity	Algorithms for Computing Diverse Sets of Near-Optimal Solutions to Mixed-Integer Optimization Problems
DR-Submodular Functions	Stochastic approximate cutting plane algorithms for continuous DR-submodular Maximization
DR-submodularity	On constrained mixed-integer DR-submodular minimization
Droop Control	Enhancing the Small-Signal Stability of Islanded Microgrids under Droop Control
Dual Decomposition	On Generating Lagrangian Cuts for Two-Stage Stochastic Integer Programs
dual dynamic programming	Dual Dynamic Programming for Data Driven Distributionally Robust Multistage Convex Optimization
Duality	Backtracking line search for nonlinear composite problems and applications
dynamic flow	Maximizing Node Activation Network Flow Problems under Non-simultaneous Flow Assumptions
dynamic programming	Tutorial: A Unified Framework for Sequential Decisions Under Uncertainty Data-driven Multistage Distributionally Robust Optimization Tridiagonal Maximum-Entropy Sampling and Tridiagonal Masks
E
early termination	A global optimization framework with machine learning models to inform early termination
Ecommerce	Bilevel models for location-based pricing problems in online retail
Economic risk in agriculture	Optimization of crop insurance policy selection and fertilizer management with water quality impacts
Edge-based Districting	Edge-based Districting without Predetermined Centers: Model and Network Insights
effective scenarios	Effective scenarios in Two-stage DRO: properties and acceleration of decomposition algorithms
Elections Infrastructure	A bi-objective covering tour problem to locate ballot drop boxes
Elective Surgeries	Capacity Expansion for Deferred Surgeries via Robust Optimization
electric vehicles	Joint Routing of Conventional and Range-Extended Electric Vehicles in a Large Metropolitan Network
Emergency response	Getting to the Scenes Faster: Facilitating the Movement of Multiple Emergency Response Vehicles in Two-way Roadways
empirical process theory	A General Approach to Solve Shape-Constrained Distributionally Robust Optimization via Importance-Weighted Sample Average Approximation
End-to-end learning	Distributionally Robust End-to-End Portfolio Construction
endogenous uncertainty	Distributionally Robust Optimization with Decision-Dependent Information Discovery
Energy Management	Improving Microgrid Energy Management with storage via Stochastic Optimization and Machine Learning Energy Storage Management Strategies under Uncertain Generation
Energy storage price arbitrage	Computation Efficient Stochastic Optimization for Variable Efficiency Energy Storage
engineering design	Application of Decomposition and Coordination Techniques on Multiobjective Engineering Design Problems
Environmental impact of agriculture	Optimization of crop insurance policy selection and fertilizer management with water quality impacts
Estimate then optimize	Fast Rates for Contextual Linear Optimization
Euclidean Jordan Algebra	Multiplicative Gradient Method: Theory and Applications
evacuation planning	Shared-Mobility-Based Evacuation Planning under Demand Uncertainty
exact algorithm	Mixed Integer Linear Optimization Formulations for Learning Optimal Binary Classification Trees
exact efficiency guarantees	Sharp convergence guarantees for iterative algorithms in random optimization problems
Exact mathematical programming	Fast and Exact Matrix Factorization Updates for Nonlinear Programming
expected improvement	High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids
Experimental Design	Efficient Sequential Experiment Design for Generalized Linear Models Stratifying Online Field Experiments Using The Pigeonhole Design
Exponential conic program	Second-Order Conic and Polyhedral Approximations of the Exponential Cone: Application to Mixed-Integer Exponential Conic Programs
express delivery	A Heuristic Approach for a Districting Application on On-time Last-mile Express Delivery Services
extragradient method	Optimal Algorithms for Differentially Private Monotone Stochastic Variational Inequalities
Extrapolation	On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport
extreme events	Optimization under rare chance constraints
extreme points	Tightening Quadratic Convex Relaxations for the AC Optimal Transmission Switching Problem
F
facial reduction	A Strengthened Barvinok-Pataki Bound on SDP Rank Robust Interior Point Methods for Quantum Key Rate Computation for Quantum Key Distribution
Facility location	On the Power of Static Assignment Policies for Robust Facility Location Problems
factorization of matrices	Algorithmic Regularization in Model-free Overparametrized Matrix Factorization
fairness	On a bilevel optimization approach to fair classification
Fathoming	An Algorithm for Biobjective Mixed Integer Quadratic Programs
Feature selection	The backbone method for ultra-high dimensional sparse machine learning
Federated Learning	Federated Learning with Heterogeneous Data: A Superquantile Optimization Approach Private Federated Learning Without a Trusted Server
Federated Optimization	Federated Learning with Heterogeneous Data: A Superquantile Optimization Approach
feedback linearization	Complexity Bounds of Iterative Linearization Algorithms for Discrete Time Nonlinear Control
Finite Adaptability	On Finite Adaptability in Two-stage Distributionally Robust Optimization
Finite Sum	Optimal Methods for Risk Averse Distributed Optimization
Finite-sum composition	Katyusha Acceleration for Convex Finite-Sum Compositional Optimization
first-order algorithm	Online Stochastic Optimization with Wasserstein Based Non-stationarity
first-order method	Survey Descent: A Multipoint Generalization of Gradient Descent for Nonsmooth Optimization
first-order stationary points	Nonconvex-Nonconcave Min-Max Optimization with a Small Maximization Domain
fixed-parameter tractable	Multi-Module Capacitated Lot-Sizing Problem, and its Generalizations with Two-Echelons and Piecewise Concave Production Costs
Food banks	Routing and resource allocation in non-profit settings with equity and efficiency measures under demand uncertainty
Function approximation	Solving cut-generating linear programs via machine learning
G
Game Theory	Managing Misinformation on Social Media during Disasters: Machine Learning and Game-Theoretic Approaches Integer Programming Methods to Identify Nash Equilibrium Solutions for Platform Based Scheduling Games
Gaussian Mixture	Clustering a mixture of Gaussians with unknown covariance
General ambiguity set	Distributionally risk-receptive and risk-averse network interdiction problems with general ambiguity set
General Noise Model	Asymptotics of Stochastic Gradient Descent for Nonconvex Objectives with General Noise Models
generalization	Overparameterized learning beyond the lazy regime
generalized Gauss-Newton	Complexity Bounds of Iterative Linearization Algorithms for Discrete Time Nonlinear Control
gradient descent	Survey Descent: A Multipoint Generalization of Gradient Descent for Nonsmooth Optimization
Graph Neural Networks	Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework
Graphical model	Integer Programming for Causal Structure Learning in the Presence of Latent Variables
Group sparsity	Generalized ADMM Framework for Non-overlapping Group Selection
H
Healthcare application	Algorithms for Optimal Genetic Testing of Families
Healthcare Capacity Management	Capacity Expansion for Deferred Surgeries via Robust Optimization
Healthcare Waste	Evaluation of Waste Disposal Alternatives in Healthcare Systems
Hessian matrix estimation	Efficient Implementation of Second-Order (Newton-like) Stochastic Optimization with Zeroth-Order or First-Order Information
Heterogeneous data	Algorithms for Nonconvex Probabilistic PCA for Data With Heteroscedastic Noise
heuristics	A Heuristic Approach for a Districting Application on On-time Last-mile Express Delivery Services
high probability	High Probability Complexity Bounds for Line Search Based on Stochastic Oracles
high-dimensional	SGD in the Large: Exact Dynamics, Average-case Analysis, and Stepsize Criticality
Humanitarian logistics	Routing and resource allocation in non-profit settings with equity and efficiency measures under demand uncertainty
hurricanes	Determining Optimal Fuel Strategies Under Uncertainty
Hybrid method	A Generalized Primal-Dual Algorithm Framework for Saddle Point Problems
hydrothermal energy system planning	Dual Dynamic Programming for Data Driven Distributionally Robust Multistage Convex Optimization
I
Indicator variables	On the convex hull of convex quadratic optimization with indicators
inertial acceleration	Distributed stochastic inertial-accelerated methods with delayed derivatives for nonconvex problems
infinite-dimensional optimization	A General Approach to Solve Shape-Constrained Distributionally Robust Optimization via Importance-Weighted Sample Average Approximation
Information Measures	Submodular Information Measures in Machine Learning
integer nonlinear optimization	On computing with some convex relaxations for the maximum-entropy sampling problem
integer optimization	Nonnegative Tensor Completion Via Integer Optimization Optimal Robust Classification Trees A new perspective on low-rank optimization
Integer Program	Decision Rule Approaches for Distributionally Robust Stochastic Bilevel Linear Programs
integer programming	An Exact Method for Maintenance Planning Optimization in Nuclear Power Plants On Polytopes with Linear Rank with respect to Generalizations of the Split Closure Optimization of worker schedules to maintenance tasks Integer Programming for Causal Structure Learning in the Presence of Latent Variables Integer Programming Approaches to Subspace Clustering with Missing Data Shared-Mobility-Based Evacuation Planning under Demand Uncertainty A bi-objective covering tour problem to locate ballot drop boxes An Abstract Model for Branch-and-Cut Integer Programming Methods to Identify Nash Equilibrium Solutions for Platform Based Scheduling Games
integer programming game	Copositive Duality for Discrete Markets and Games
Integer recourse	Optimal Transportation Mode Selection and Capacity Allocation under Uncertainty
Integrality gap	Proximity Results In Mixed-integer Second Order Conic Programming
interdependent infrastructures	Optimizing Cooperative Interdependent Attack Graphs to compromise cyberinfrastructures
interpolation	A Derivative-Free Algorithm for Least-Squares that Exploits Prior Simulation Outputs
interpretable machine learning	Interpretable Clustering via Multi-Polytope Machines
Interpretable Policies	On Finite Adaptability in Two-stage Distributionally Robust Optimization
inventory control	Dual Dynamic Programming for Data Driven Distributionally Robust Multistage Convex Optimization Self-guided Approximate Linear Programs
Inventory management	Optimal Robust Policy for Feature-Based Newsvendor
iterate-by-iterate prediction	Sharp convergence guarantees for iterative algorithms in random optimization problems
iterative algorithms	Sharp convergence guarantees for iterative algorithms in random optimization problems Iterative Approaches for Integrating Rider Behavior into the Design of Large-Scale On-Demand Multimodal Transit Systems
J
Job-Shop Scheduling	Toward Linear Convergence for Non-Smooth Optimization: Implications for Discrete Optimization Problems
joint chance-constraints	Joint Chance-Constrained Predictive Generation and Line Maintenance Planning with Operations Scheduling under Sensor-Driven Failure Uncertainty
K
Katyusha	Katyusha Acceleration for Convex Finite-Sum Compositional Optimization
Kendall tau distance	Approximate Condorcet Partitioning: Solving Very Large Rank Aggregation Problems at Scale
kernel ridge regression	High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids
Knapsack Problem	Characterizing and Benchmarking QUBO Reformulations of the Knapsack Problem
L
Lagrangian dual	A Lagrangian Dual Method for Two-Stage Robust Optimization with Binary Uncertainties
Lagrangian Relaxation	Stochastic Job-Shop Scheduling: Implications on Supply-Chain Operations under Uncertainty Toward Linear Convergence for Non-Smooth Optimization: Implications for Discrete Optimization Problems
Large Deviation Theory	Learning and Decision-Making with Data : Optimal Formulations and Phase Transitions Optimal Data-Driven Optimization with Noisy Data Optimization under rare chance constraints
large deviations theory	On Data-Driven Prescriptive Analytics with Side Information: A Regularized Nadaraya-Watson Approach
large-scale optimization	Column-Randomized Linear Programs: Performance Guarantees and Applications
large-scale vehicle routing	Joint Routing of Conventional and Range-Extended Electric Vehicles in a Large Metropolitan Network
last-mile logistics	Incorporating Intuition in Last-Mile Routing
leave-one-out analysis	Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data
Line losses	A Linear Outer Approximation of Line Losses for DC-based Optimal Power Flow Problems
line search	High Probability Complexity Bounds for Line Search Based on Stochastic Oracles
Linear Convergence	On the Convergence of Generalized Proximal Point Algorithms for Monotone Inclusion Problems
Linear Decision Rules	Decision Rule Approaches for Distributionally Robust Stochastic Bilevel Linear Programs
linear interpolation	Approximating Optimal Solutions to Biconvex Parametric Programs
linear optimization	Column-Randomized Linear Programs: Performance Guarantees and Applications
linear programming	Self-guided Approximate Linear Programs
linear regularity	A superlinearly convergent subgradient method for sharp semismooth problems
Linearization	Computational Comparison of Exact Solution Methods for 0-1 Quadratic Programs: Recommendations for Practitioners
local linear convergence	Survey Descent: A Multipoint Generalization of Gradient Descent for Nonsmooth Optimization
local search	Tridiagonal Maximum-Entropy Sampling and Tridiagonal Masks A Heuristic Approach for a Districting Application on On-time Last-mile Express Delivery Services
local solutions	Structured Local Solutions in Some Nonconvex Problems
Location Analysis	Edge-based Districting without Predetermined Centers: Model and Network Insights
Logarithmic Homogeneity	Multiplicative Gradient Method: Theory and Applications
Logic Cuts	Edge-based Districting without Predetermined Centers: Model and Network Insights
Lot-sizing	Stochastic lot-sizing with substitution and service level constraints
Low-rank modifications	Fast and Exact Matrix Factorization Updates for Nonlinear Programming
Low-rank optimization	A new perspective on low-rank optimization
lower bounds	On Polytopes with Linear Rank with respect to Generalizations of the Split Closure
LP rounding	Multi-Item Online Order Fulfillment in a Two-Layer Network
M
Machine Learning	Learning and Decision-Making with Data : Optimal Formulations and Phase Transitions Managing Misinformation on Social Media during Disasters: Machine Learning and Game-Theoretic Approaches A global optimization framework with machine learning models to inform early termination Mixed Integer Linear Optimization Formulations for Learning Optimal Binary Classification Trees Distributionally Robust End-to-End Portfolio Construction Optimal Data-Driven Optimization with Noisy Data SGD in the Large: Exact Dynamics, Average-case Analysis, and Stepsize Criticality Submodular Information Measures in Machine Learning Learning Model Predictive Controllers for Real-Time Ride-Hailing Vehicle Relocation and Pricing Decisions Integer Programming Approaches to Subspace Clustering with Missing Data Efficient Sequential Experiment Design for Generalized Linear Models Nonnegative Tensor Completion Via Integer Optimization Solving cut-generating linear programs via machine learning Accelerating Stochastic Sequential Quadratic Programming for Equality Constrained Stochastic Optimization using Predictive Variance Reduction On a bilevel optimization approach to fair classification Implicit Regularization of Sub-gradient Method in Robust Matrix Recovery Bilevel stochastic methods for optimization and machine learning: Bilevel stochastic descent and DARTS
Maintenance Optimization	An Exact Method for Maintenance Planning Optimization in Nuclear Power Plants
maintenance scheduling	Joint Chance-Constrained Predictive Generation and Line Maintenance Planning with Operations Scheduling under Sensor-Driven Failure Uncertainty
manifold optimization	Stochastic Zeroth-order Riemannian Derivative Estimation and Optimization
Markov decision process	Algorithms for Optimal Genetic Testing of Families
Markov decision processes	Self-guided Approximate Linear Programs
Matheuristic	Routing and resource allocation in non-profit settings with equity and efficiency measures under demand uncertainty
Matrix Completion	Learning Treatment Effects in Panels with General Intervention Patterns
matrix factorization	Structured Local Solutions in Some Nonconvex Problems Implicit Regularization of Sub-gradient Method in Robust Matrix Recovery
Matrix factorizations	Fast and Exact Matrix Factorization Updates for Nonlinear Programming
Matrix perspective relaxation	A new perspective on low-rank optimization
Max Cut	Multi-angle Quantum Approximate Optimization Algorithm
Max-Cut	Clustering a mixture of Gaussians with unknown covariance
maximum-entropy sampling	On computing with some convex relaxations for the maximum-entropy sampling problem
Mechanism design	Plan Your System and Price for Free: Fast Algorithms for Multimodal Transit Operations
metric subregularity	A superlinearly convergent subgradient method for sharp semismooth problems
Microgrid	Micro-grid Planning With Aggregator's Role In The Renewable Inclusive Prosumer Market
Microgrids	Enhancing the Small-Signal Stability of Islanded Microgrids under Droop Control
min-max optimization	On the Complexity of a Practical Primal-Dual Coordinate Method Nonconvex-Nonconcave Min-Max Optimization with a Small Maximization Domain
Minimum Biclique Cover Problem	Modeling Disjunctive Constraints via Junction Trees
Minimum-Cost Circulation	Network Interdiction Games with Heterogeneous Transportation and Interdiction Costs
MINLP	Drone-Network Queuing Optimization Model for Emergencies
MISDP	Beyond Symmetry: Best Submatrix Selection for the Sparse Truncated SVD
Misinformation management	Managing Misinformation on Social Media during Disasters: Machine Learning and Game-Theoretic Approaches
Mixed autonomy traffic	Efficient Algorithms for Stochastic Ridepooling Assignment with Mixed Fleets
mixed integer linear optimization	Mixed Integer Linear Optimization Formulations for Learning Optimal Binary Classification Trees
Mixed Integer Optimization	Algorithms for Computing Diverse Sets of Near-Optimal Solutions to Mixed-Integer Optimization Problems
mixed integer optimization models	Formulations of the max k-cut problem on classical and quantum computers
Mixed Integer Programming	Sparse PCA: A New Scalable Estimator Based On Integer Programming Interpretable Clustering via Multi-Polytope Machines A Deep Reinforcement Learning Approach to Solving the Multidimensional Knapsack Problem A Risk-Averse Multi-stage Stochastic Optimization Approach to the EAB Epidemic Problem in the US Forests
Mixed Integer Programs	On The Structure Of DD-representable MIPs With Application To Unit Commitment
Mixed-integer	Second-Order Conic and Polyhedral Approximations of the Exponential Cone: Application to Mixed-Integer Exponential Conic Programs
Mixed-Integer Convex Programming Representability	DFO: A Robust Framework for Data-driven Decision-making with Outliers
Mixed-Integer Linear Programming	Toward Linear Convergence for Non-Smooth Optimization: Implications for Discrete Optimization Problems
mixed-integer nonlinear optimization	Gaining or Losing Perspective for Convex Multivariate Functions
mixed-integer nonlinear programming	Motion Planning for Drone Fleets using MINLP Scheduling Mobile Parcel Lockers Under Customer Choice
Mixed-Integer Programming	Modeling Disjunctive Constraints via Junction Trees Joint Chance-Constrained Predictive Generation and Line Maintenance Planning with Operations Scheduling under Sensor-Driven Failure Uncertainty Stochastic Optimization Models for a Home Service Routing and Appointment Scheduling Problem with Random Travel and Service Times bsnsing: A decision tree induction method based on recursive optimal boolean rule composition
Mixed-integer programs	Deepest Cuts for Benders Decomposition
Mixed-integer quadratic optimization	On the convex hull of convex quadratic optimization with indicators
Mobile facility	Distributionally Robust Optimization Approaches for a Stochastic Mobile Facility Routing and Scheduling Problem
mobile facility location	Scheduling Mobile Parcel Lockers Under Customer Choice
Model Parallelism	Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework
model-based optimization methods	A Derivative-Free Algorithm for Least-Squares that Exploits Prior Simulation Outputs
model-predictive control	Learning Model Predictive Controllers for Real-Time Ride-Hailing Vehicle Relocation and Pricing Decisions
Monotone inclusion Problems	On the Convergence of Generalized Proximal Point Algorithms for Monotone Inclusion Problems
Monotone Variational Inequality	Stochastic first-order Algorithms for a class of non-Lipschitz variational inequalities
Moreau envelope	Nonconvex-Nonconcave Min-Max Optimization with a Small Maximization Domain
Moreau envelopes	Algorithms for DC Programs based on Difference-of-Moreau-Envelopes Smoothing
motion planning	Motion Planning for Drone Fleets using MINLP
Multi-Agent Systems	On Arbitrary Compression for Decentralized Consensus and Stochastic Optimization over Directed Networks
multi-armed bandit	Online Learning and Pricing for Service Systems with Reusable Resources
Multi-Criteria Decision Making	Evaluation of Waste Disposal Alternatives in Healthcare Systems
Multi-stage	Stochastic lot-sizing with substitution and service level constraints
Multi-Stage Stochastic Optimization	A Risk-Averse Multi-stage Stochastic Optimization Approach to the EAB Epidemic Problem in the US Forests
Multi-stage stochastic programming	Improving Microgrid Energy Management with storage via Stochastic Optimization and Machine Learning Markov chain-based policies for multi-stage stochastic integer linear programming with an application to disaster relief logistics Adaptive partition‐based SDDP algorithms for multistage stochastic linear programming
multicriteria optimization	Using Multicriteria Optimization and Simulated Annealing to Construct Political Districts
Multidimensional Knapsack Problem	A Deep Reinforcement Learning Approach to Solving the Multidimensional Knapsack Problem
Multilinear Uncertainty	Capacity Expansion for Deferred Surgeries via Robust Optimization
Multimodal mobility systems	Plan Your System and Price for Free: Fast Algorithms for Multimodal Transit Operations
multimodal transit systems	Resiliency of on-demand multimodal transit systems during a pandemic Iterative Approaches for Integrating Rider Behavior into the Design of Large-Scale On-Demand Multimodal Transit Systems
multinomial logit choice model	Scheduling Mobile Parcel Lockers Under Customer Choice
multiobjective optimization	Application of Decomposition and Coordination Techniques on Multiobjective Engineering Design Problems
Multiplicative Gradient Method	Multiplicative Gradient Method: Theory and Applications
multistage convex optimization	Dual Dynamic Programming for Data Driven Distributionally Robust Multistage Convex Optimization
Multistage stochastic integer programming	On the Value of Multistage Stochastic Facility Location with Risk Aversion
N
navigation	Incorporating Intuition in Last-Mile Routing
Near-Optimal Solutions	Algorithms for Computing Diverse Sets of Near-Optimal Solutions to Mixed-Integer Optimization Problems
network design	Iterative Approaches for Integrating Rider Behavior into the Design of Large-Scale On-Demand Multimodal Transit Systems
Network design and pricing problem	Plan Your System and Price for Free: Fast Algorithms for Multimodal Transit Operations
network flow optimization	Maximizing Node Activation Network Flow Problems under Non-simultaneous Flow Assumptions
network interdiction	Multi-period Max Flow Network Interdiction with Restructuring for Disrupting Domestic Sex Trafficking Networks Best Response Intersection: An Optimal Algorithm for Interdiction Defense
Network Interdiction Games	Network Interdiction Games with Heterogeneous Transportation and Interdiction Costs
Network optimization	An Exact Optimization Approach for Relay Node Location in Wireless Sensor Networks Mixed Integer Linear Optimization Formulations for Learning Optimal Binary Classification Trees
neural collapse	A Top-Down Approach Toward Understanding Deep Learning
Neural Networks	Improving Microgrid Energy Management with storage via Stochastic Optimization and Machine Learning
Node Selection	Algorithms for Computing Diverse Sets of Near-Optimal Solutions to Mixed-Integer Optimization Problems
non-adaptive algorithms	Non-Adaptive Stochastic Score Classification and Explainable Halfspace Evaluation
Non-Dominated Sorting Genetic II Algorithm	Getting to the Scenes Faster: Facilitating the Movement of Multiple Emergency Response Vehicles in Two-way Roadways
Non-Intersecting	Convex Hull Results on Quadratic Programs with Non-Intersecting Constraints
non-linear combinatorial optimization	Tridiagonal Maximum-Entropy Sampling and Tridiagonal Masks
Non-Lipschitz	Stochastic first-order Algorithms for a class of non-Lipschitz variational inequalities
Non-Smooth Optimization	Toward Linear Convergence for Non-Smooth Optimization: Implications for Discrete Optimization Problems
nonconvex	Structured Local Solutions in Some Nonconvex Problems Two-stage stochastic programs with nonconvex recourse Asymptotics of Stochastic Gradient Descent for Nonconvex Objectives with General Noise Models
nonconvex market	Copositive Duality for Discrete Markets and Games
nonconvex optimization	Algorithms for Nonconvex Probabilistic PCA for Data With Heteroscedastic Noise Sharp convergence guarantees for iterative algorithms in random optimization problems Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data Conjugate gradient methods for nonconvex optimization A Globally Convergent Distributed Jacobi Scheme for Block-Structured Nonconvex Constrained Optimization Problems Implicit Regularization of Sub-gradient Method in Robust Matrix Recovery
Nonconvex regularization	Generalized ADMM Framework for Non-overlapping Group Selection
nonconvex-nonconcave	Nonconvex-Nonconcave Min-Max Optimization with a Small Maximization Domain
nonlinear least squares	A Derivative-Free Algorithm for Least-Squares that Exploits Prior Simulation Outputs
nonlinear optimization	Fast and Exact Matrix Factorization Updates for Nonlinear Programming Efficient Implementation of Second-Order (Newton-like) Stochastic Optimization with Zeroth-Order or First-Order Information SQP Methods for Nonlinear Equality Constrained Stochastic Optimization Derivative-Free Optimization via Adaptive Sampling Strategies Worst-Case Complexity of an SQP Method for Nonlinear Equality Constrained Stochastic Optimization Retrospective Approximation For Smooth Stochastic Approximation High Probability Complexity Bounds for Line Search Based on Stochastic Oracles Reformulation-Perspectification Technique: General Methodology A Trust Region Method for the Optimization of Noisy Functions
nonlinear programming	Regularized Step Directions in Conjugate Gradient Minimization
nonsmooth optimization	Federated Learning with Heterogeneous Data: A Superquantile Optimization Approach Survey Descent: A Multipoint Generalization of Gradient Descent for Nonsmooth Optimization
novel applications	Optimization of worker schedules to maintenance tasks
Nuclear Power Plants	An Exact Method for Maintenance Planning Optimization in Nuclear Power Plants
O
On-demand shuttles	Resiliency of on-demand multimodal transit systems during a pandemic
online algorithm	Multi-Item Online Order Fulfillment in a Two-Layer Network
online knapsack problem	Tight Guarantees for Multi-unit Prophet Inequalities and Online Stochastic Knapsack
Online Matching	Stratifying Online Field Experiments Using The Pigeonhole Design
online optimization	Online Stochastic Optimization with Wasserstein Based Non-stationarity
online selection	Robust online selection with uncertain offer acceptance
Operations Management	Stochastic Job-Shop Scheduling: Implications on Supply-Chain Operations under Uncertainty
Operator Convexity	Multiplicative Gradient Method: Theory and Applications
optimal binary classification trees	Mixed Integer Linear Optimization Formulations for Learning Optimal Binary Classification Trees
optimal convergence rate	A New Randomized Primal-Dual Algorithm for Convex Optimization with Optimal Last Iterate Rates
Optimal decision tree	Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features
optimal fuel strategies	Determining Optimal Fuel Strategies Under Uncertainty
Optimal power flow	A Linear Outer Approximation of Line Losses for DC-based Optimal Power Flow Problems
Optimal Transport	On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport
optimality-based bound tightening	Drone-Network Queuing Optimization Model for Emergencies
Optimistic	Efficient Sequential Experiment Design for Generalized Linear Models
Optimization	Multi-angle Quantum Approximate Optimization Algorithm Using Multicriteria Optimization and Simulated Annealing to Construct Political Districts Micro-grid Planning With Aggregator's Role In The Renewable Inclusive Prosumer Market
optimization of noisy functions	A Trust Region Method for the Optimization of Noisy Functions
Optimization software	Computational Comparison of Exact Solution Methods for 0-1 Quadratic Programs: Recommendations for Practitioners
optimization-based bound tightening	Tightening Quadratic Convex Relaxations for the AC Optimal Transmission Switching Problem
options pricing	Self-guided Approximate Linear Programs
OR in Natural Resources	A Risk-Averse Multi-stage Stochastic Optimization Approach to the EAB Epidemic Problem in the US Forests
OR in societal problem analysis	Multi-period Max Flow Network Interdiction with Restructuring for Disrupting Domestic Sex Trafficking Networks
order fulfillment	Multi-Item Online Order Fulfillment in a Two-Layer Network
Outer approximation	A Linear Outer Approximation of Line Losses for DC-based Optimal Power Flow Problems
overparameterization	Overparameterized learning beyond the lazy regime
overparametrization	Algorithmic Regularization in Model-free Overparametrized Matrix Factorization
P
Panel Data	Learning Treatment Effects in Panels with General Intervention Patterns
Parameterized Deterministic Lookahead	Tutorial: A Unified Framework for Sequential Decisions Under Uncertainty
Parametric linear complementarity problem	An Algorithm for Biobjective Mixed Integer Quadratic Programs
parametric optimization	Approximating Optimal Solutions to Biconvex Parametric Programs
Partially Ordered Sets	Network Interdiction Games with Heterogeneous Transportation and Interdiction Costs
Particle Swarm Optimization	Getting to the Scenes Faster: Facilitating the Movement of Multiple Emergency Response Vehicles in Two-way Roadways
Partition-based methods	Adaptive partition‐based SDDP algorithms for multistage stochastic linear programming
PDHG	Faster First-Order Primal-Dual Methods for Linear Programming using Restarts and Sharpness
Performance Bounds	On Finite Adaptability in Two-stage Distributionally Robust Optimization
Personalized decision making	Fast Rates for Contextual Linear Optimization
Perspective function	Reformulation-Perspectification Technique: General Methodology
Pessimistic Bilevel Program	Decision Rule Approaches for Distributionally Robust Stochastic Bilevel Linear Programs
Pharmaceutical supply chain management	A risk-averse and chance-constrained two-stage stochastic programming model for pharmaceutical supply chain management under demand uncertainty
Phase Transitions	Learning and Decision-Making with Data : Optimal Formulations and Phase Transitions Optimal Data-Driven Optimization with Noisy Data
phi-divergence	Effective scenarios in Two-stage DRO: properties and acceleration of decomposition algorithms
piecewise concave costs	Multi-Module Capacitated Lot-Sizing Problem, and its Generalizations with Two-Echelons and Piecewise Concave Production Costs
Piecewise decision rules	A Decision Rule Approach for Two-Stage Data-Driven Distributionally Robust Optimization Problems with Random Recourse
political redistricting	Using Multicriteria Optimization and Simulated Annealing to Construct Political Districts
Polyhedral approximation	Second-Order Conic and Polyhedral Approximations of the Exponential Cone: Application to Mixed-Integer Exponential Conic Programs
polyhedral study	On constrained mixed-integer DR-submodular minimization
Portfolio optimization	Distributionally Robust End-to-End Portfolio Construction
Power systems	Best Response Intersection: An Optimal Algorithm for Interdiction Defense
Power systems operations	An Open and Realistic Large-Scale Stochastic Unit Commitment Case: Data and Experimental Baseline
preprocessing	Investigating the Impact of Preprocessing on Quantum Algorithms
pricing	Learning Model Predictive Controllers for Real-Time Ride-Hailing Vehicle Relocation and Pricing Decisions Pricing in On-Demand (and One-Way) Vehicle Sharing Networks Online Learning and Pricing for Service Systems with Reusable Resources
primal-dual algorithms	On the Complexity of a Practical Primal-Dual Coordinate Method
primal-dual method	A Generalized Primal-Dual Algorithm Framework for Saddle Point Problems A New Randomized Primal-Dual Algorithm for Convex Optimization with Optimal Last Iterate Rates
Principal component analysis	Algorithms for Nonconvex Probabilistic PCA for Data With Heteroscedastic Noise
problem instance data	MOSDEX: Proposal for A New Standard for Data Exchange with Optimization Solvers
problem instance description	MOSDEX: Proposal for A New Standard for Data Exchange with Optimization Solvers
problem instance interchange	MOSDEX: Proposal for A New Standard for Data Exchange with Optimization Solvers
Programming	An Active-set Method For Two-Stage Stochastic Quadratic Programming
Progressive hedging algorithm	Optimal Transportation Mode Selection and Capacity Allocation under Uncertainty
Projected Alternating Maximization	On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport
Projection Cuts	Projection Cuts for Two-Stage Stochastic Mixed-Integer Programs
prophet inequalities	Tight Guarantees for Multi-unit Prophet Inequalities and Online Stochastic Knapsack
Prosumers	Micro-grid Planning With Aggregator's Role In The Renewable Inclusive Prosumer Market
Prox-linear	Backtracking line search for nonlinear composite problems and applications
Proximal point algorithm	Optimal Algorithms for Differentially Private Monotone Stochastic Variational Inequalities On the Convergence of Generalized Proximal Point Algorithms for Monotone Inclusion Problems
Proximity results	Proximity Results In Mixed-integer Second Order Conic Programming
Public transit	Resiliency of on-demand multimodal transit systems during a pandemic
Q
QAOA	Investigating the Impact of Preprocessing on Quantum Algorithms Formulations of the max k-cut problem on classical and quantum computers
Quadratic	An Active-set Method For Two-Stage Stochastic Quadratic Programming
quadratic assignment problem	An LP-based characterization of solvable QAP instances with chess-board and graded structures
quadratic convex optimization	Tightening Quadratic Convex Relaxations for the AC Optimal Transmission Switching Problem
quadratic programming	Distributionally Robust Two-Stage Convex Quadratic Programming
Quadratic programs	Some Strongly Polynomially Solvable Convex Quadratic Programs with Bounded Variables
Quadratic Unconstrained Binary Optimization	Characterizing and Benchmarking QUBO Reformulations of the Knapsack Problem
Quadratically Constrained Quadratic Programming	Convex Hull Results on Quadratic Programs with Non-Intersecting Constraints
quantity-contingent auction	Quantity-Contingent Auctions and Allocation of Airport Slots
Quantum	Investigating the Impact of Preprocessing on Quantum Algorithms Multi-angle Quantum Approximate Optimization Algorithm
Quantum Approximate Optimization Algorithm	Characterizing and Benchmarking QUBO Reformulations of the Knapsack Problem
Quantum Computing	Formulations of the max k-cut problem on classical and quantum computers Characterizing and Benchmarking QUBO Reformulations of the Knapsack Problem
quantum key distribution	Robust Interior Point Methods for Quantum Key Rate Computation for Quantum Key Distribution
quasi-Newton method	Efficient Implementation of Second-Order (Newton-like) Stochastic Optimization with Zeroth-Order or First-Order Information
QUBO formulations	Formulations of the max k-cut problem on classical and quantum computers
queuing optimization	Drone-Network Queuing Optimization Model for Emergencies
R
R package	bsnsing: A decision tree induction method based on recursive optimal boolean rule composition
random features	Self-guided Approximate Linear Programs
random matrix theory	SGD in the Large: Exact Dynamics, Average-case Analysis, and Stepsize Criticality
Random recourse	A Decision Rule Approach for Two-Stage Data-Driven Distributionally Robust Optimization Problems with Random Recourse
Random Service Time	Stochastic Optimization Models for a Home Service Routing and Appointment Scheduling Problem with Random Travel and Service Times
Random Travel Time	Stochastic Optimization Models for a Home Service Routing and Appointment Scheduling Problem with Random Travel and Service Times
Randomized algorithm	Column-Randomized Linear Programs: Performance Guarantees and Applications
Randomized block coordinate algorithm	A New Randomized Primal-Dual Algorithm for Convex Optimization with Optimal Last Iterate Rates
rank	On Polytopes with Linear Rank with respect to Generalizations of the Split Closure
Rank aggregation	Approximate Condorcet Partitioning: Solving Very Large Rank Aggregation Problems at Scale Exact Formulation and Partitioning of the General Rank Aggregation Problem
real-time optimization	Learning Model Predictive Controllers for Real-Time Ride-Hailing Vehicle Relocation and Pricing Decisions
recombination	Using Multicriteria Optimization and Simulated Annealing to Construct Political Districts
redistricting	Using Multicriteria Optimization and Simulated Annealing to Construct Political Districts
Reformulation Linearization Technique	Reformulation-Perspectification Technique: General Methodology
regression	A Derivative-Free Algorithm for Least-Squares that Exploits Prior Simulation Outputs
regret	Online Stochastic Optimization with Wasserstein Based Non-stationarity
reinforcement learning	Self-guided Approximate Linear Programs
relaxation	Gaining or Losing Perspective for Convex Multivariate Functions
relocation	Learning Model Predictive Controllers for Real-Time Ride-Hailing Vehicle Relocation and Pricing Decisions
Renewable energy	Micro-grid Planning With Aggregator's Role In The Renewable Inclusive Prosumer Market
Resilience	Using OR to Prioritize Transportation Network Resilience Investments
Resiliency	A risk-averse and chance-constrained two-stage stochastic programming model for pharmaceutical supply chain management under demand uncertainty
Resource allocation	Routing and resource allocation in non-profit settings with equity and efficiency measures under demand uncertainty
restarts	Faster First-Order Primal-Dual Methods for Linear Programming using Restarts and Sharpness
reusable resources	Online Learning and Pricing for Service Systems with Reusable Resources
Reward-Risk Ratio	Reward-Risk Ratio Optimization under Copula-Based Wasserstein Ambiguity
Ride hailing	Learning Model Predictive Controllers for Real-Time Ride-Hailing Vehicle Relocation and Pricing Decisions
Ridepooling assignment problem	Efficient Algorithms for Stochastic Ridepooling Assignment with Mixed Fleets
Riemannian optimization	Stochastic Zeroth-order Riemannian Derivative Estimation and Optimization
Risk-Averse	A Risk-Averse Multi-stage Stochastic Optimization Approach to the EAB Epidemic Problem in the US Forests
risk-averse optimization	A risk-averse and chance-constrained two-stage stochastic programming model for pharmaceutical supply chain management under demand uncertainty On the Value of Multistage Stochastic Facility Location with Risk Aversion
RLT	An LP-based characterization of solvable QAP instances with chess-board and graded structures
robust machine learning	Optimal Robust Classification Trees
robust objective	Robust online selection with uncertain offer acceptance
Robust Optimization	A Lagrangian Dual Method for Two-Stage Robust Optimization with Binary Uncertainties Rockafellian Relaxation in Optimization under Uncertainty: Consistent Alternatives to Robust Formulations Optimal Robust Classification Trees Capacity Expansion for Deferred Surgeries via Robust Optimization On the Power of Static Assignment Policies for Robust Facility Location Problems
robust principal component analysis	Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data
Robust Statistics	DFO: A Robust Framework for Data-driven Decision-making with Outliers
Robustness	Efficient Sequential Experiment Design for Generalized Linear Models
Rockafellian	Rockafellian Functions: Theory and Applications Rockafellian Relaxation in Optimization under Uncertainty: Consistent Alternatives to Robust Formulations
Rounding	On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport
route prediction	Incorporating Intuition in Last-Mile Routing
S
Saddle Point Problem	On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport
sample average approximation	Optimal Transportation Mode Selection and Capacity Allocation under Uncertainty A General Approach to Solve Shape-Constrained Distributionally Robust Optimization via Importance-Weighted Sample Average Approximation
Scenario decomposition	Optimal Transportation Mode Selection and Capacity Allocation under Uncertainty
Scenario Dominance Cuts	A Risk-Averse Multi-stage Stochastic Optimization Approach to the EAB Epidemic Problem in the US Forests
Scheduling	Energy Storage Management Strategies under Uncertain Generation Integer Programming Methods to Identify Nash Equilibrium Solutions for Platform Based Scheduling Games
Scheduling and Routing	Distributionally Robust Optimization Approaches for a Stochastic Mobile Facility Routing and Scheduling Problem Stochastic Optimization Models for a Home Service Routing and Appointment Scheduling Problem with Random Travel and Service Times
scheduling optimization	Optimization of worker schedules to maintenance tasks
SDDP	Adaptive partition‐based SDDP algorithms for multistage stochastic linear programming
Second-order conic program	Second-Order Conic and Polyhedral Approximations of the Exponential Cone: Application to Mixed-Integer Exponential Conic Programs
secretary problem	Robust online selection with uncertain offer acceptance
Semidefinite optimization	A new perspective on low-rank optimization
semidefinite programming	A Strengthened Barvinok-Pataki Bound on SDP Rank Convex Hull Results on Quadratic Programs with Non-Intersecting Constraints Robust Interior Point Methods for Quantum Key Rate Computation for Quantum Key Distribution
semismooth Newton	A superlinearly convergent subgradient method for sharp semismooth problems
sensitivity analysis	Rockafellian Functions: Theory and Applications
Sensor location	An Exact Optimization Approach for Relay Node Location in Wireless Sensor Networks
Sequential Decisions Under Uncertainty	Tutorial: A Unified Framework for Sequential Decisions Under Uncertainty
sequential quadratic optimization	SQP Methods for Nonlinear Equality Constrained Stochastic Optimization Worst-Case Complexity of an SQP Method for Nonlinear Equality Constrained Stochastic Optimization
service systems	Online Learning and Pricing for Service Systems with Reusable Resources
Set dominance	An Algorithm for Biobjective Mixed Integer Quadratic Programs
sex trafficking	Multi-period Max Flow Network Interdiction with Restructuring for Disrupting Domestic Sex Trafficking Networks
shape constraint	A General Approach to Solve Shape-Constrained Distributionally Robust Optimization via Importance-Weighted Sample Average Approximation
sharp growth	A superlinearly convergent subgradient method for sharp semismooth problems
sharpness	Faster First-Order Primal-Dual Methods for Linear Programming using Restarts and Sharpness
Side information	Optimal Robust Policy for Feature-Based Newsvendor
simplex approximation	Approximating Optimal Solutions to Biconvex Parametric Programs
simulated annealing	Using Multicriteria Optimization and Simulated Annealing to Construct Political Districts
simulation optimization	High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids
simultaneous perturbation stochastic approximation (SPSA)	Efficient Implementation of Second-Order (Newton-like) Stochastic Optimization with Zeroth-Order or First-Order Information
singularity degree	A Strengthened Barvinok-Pataki Bound on SDP Rank
small random initialization	Overparameterized learning beyond the lazy regime
Small-Signal Stability	Enhancing the Small-Signal Stability of Islanded Microgrids under Droop Control
smoothing	Algorithms for DC Programs based on Difference-of-Moreau-Envelopes Smoothing
Social networks	Managing Misinformation on Social Media during Disasters: Machine Learning and Game-Theoretic Approaches
solution paths	Comparing Solution Paths of Sparse Quadratic Minimization with a Stieltjes Matrix
sparse	A Graph-based Decomposition Method for Convex Quadratic Optimization with Indicators
sparse grid	High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids
Sparse implementation	Stochastic first-order Algorithms for a class of non-Lipschitz variational inequalities
Sparse machine learning	The backbone method for ultra-high dimensional sparse machine learning
sparse optimization	Comparing Solution Paths of Sparse Quadratic Minimization with a Stieltjes Matrix
Sparse PCA	Sparse PCA: A New Scalable Estimator Based On Integer Programming Beyond Symmetry: Best Submatrix Selection for the Sparse Truncated SVD
Sparse SVD	Beyond Symmetry: Best Submatrix Selection for the Sparse Truncated SVD
Spatial-Temporal Optimization	A Risk-Averse Multi-stage Stochastic Optimization Approach to the EAB Epidemic Problem in the US Forests
Spectral initialization	Clustering a mixture of Gaussians with unknown covariance
Spiked Covariance Model	Sparse PCA: A New Scalable Estimator Based On Integer Programming
split cut	On Polytopes with Linear Rank with respect to Generalizations of the Split Closure
SQL	MOSDEX: Proposal for A New Standard for Data Exchange with Optimization Solvers
stability	Optimal Algorithms for Differentially Private Monotone Stochastic Variational Inequalities
static policy	Adjustability in Robust Linear Optimization
Statistical ambiguity	Distributionally Robust End-to-End Portfolio Construction
Statistical Computing	bsnsing: A decision tree induction method based on recursive optimal boolean rule composition
Statistical-computational gap	Clustering a mixture of Gaussians with unknown covariance
Stochastic	An Active-set Method For Two-Stage Stochastic Quadratic Programming
stochastic (sub)gradient method	Distributed stochastic inertial-accelerated methods with delayed derivatives for nonconvex problems
stochastic algorithms	On the Complexity of a Practical Primal-Dual Coordinate Method
Stochastic approximate cutting plane	Stochastic approximate cutting plane algorithms for continuous DR-submodular Maximization
stochastic approximation	Katyusha Acceleration for Convex Finite-Sum Compositional Optimization
Stochastic Dual Dynamic Programming	Improving Microgrid Energy Management with storage via Stochastic Optimization and Machine Learning
Stochastic dynamic programming	Computation Efficient Stochastic Optimization for Variable Efficiency Energy Storage
Stochastic gradient descent	Asymptotics of Stochastic Gradient Descent for Nonconvex Objectives with General Noise Models Bilevel stochastic methods for optimization and machine learning: Bilevel stochastic descent and DARTS
Stochastic Integer Programming	On Generating Lagrangian Cuts for Two-Stage Stochastic Integer Programs
Stochastic Job-Shop Scheduling	Stochastic Job-Shop Scheduling: Implications on Supply-Chain Operations under Uncertainty
Stochastic network interdiction	Distributionally risk-receptive and risk-averse network interdiction problems with general ambiguity set
stochastic optimization	Efficient Implementation of Second-Order (Newton-like) Stochastic Optimization with Zeroth-Order or First-Order Information Federated Learning with Heterogeneous Data: A Superquantile Optimization Approach Rockafellian Functions: Theory and Applications SGD in the Large: Exact Dynamics, Average-case Analysis, and Stepsize Criticality Enhancing the Small-Signal Stability of Islanded Microgrids under Droop Control SQP Methods for Nonlinear Equality Constrained Stochastic Optimization Rockafellian Relaxation in Optimization under Uncertainty: Consistent Alternatives to Robust Formulations Accelerating Stochastic Sequential Quadratic Programming for Equality Constrained Stochastic Optimization using Predictive Variance Reduction Worst-Case Complexity of an SQP Method for Nonlinear Equality Constrained Stochastic Optimization Distributionally Robust Optimization Approaches for a Stochastic Mobile Facility Routing and Scheduling Problem Stochastic Optimization Models for a Home Service Routing and Appointment Scheduling Problem with Random Travel and Service Times Retrospective Approximation For Smooth Stochastic Approximation High Probability Complexity Bounds for Line Search Based on Stochastic Oracles Energy Storage Management Strategies under Uncertain Generation Complexity Analysis of Trust-Region Optimization with Adaptive Sampling for Zeroth-Order Stochastic Oracles Decentralized Composite Optimization with Compression On Data-Driven Prescriptive Analytics with Side Information: A Regularized Nadaraya-Watson Approach Non-Adaptive Stochastic Score Classification and Explainable Halfspace Evaluation Online Stochastic Optimization with Wasserstein Based Non-stationarity
Stochastic programming	Tutorial: A Unified Framework for Sequential Decisions Under Uncertainty Stochastic Job-Shop Scheduling: Implications on Supply-Chain Operations under Uncertainty An Open and Realistic Large-Scale Stochastic Unit Commitment Case: Data and Experimental Baseline Optimization of crop insurance policy selection and fertilizer management with water quality impacts Optimal Transportation Mode Selection and Capacity Allocation under Uncertainty Shared-Mobility-Based Evacuation Planning under Demand Uncertainty Joint Chance-Constrained Predictive Generation and Line Maintenance Planning with Operations Scheduling under Sensor-Driven Failure Uncertainty
stochastic programs	Two-stage stochastic programs with nonconvex recourse
stochastic scheduling	Determining Optimal Fuel Strategies Under Uncertainty
Stochastic variational inequality	Optimal Algorithms for Differentially Private Monotone Stochastic Variational Inequalities
Stratified Experiment	Stratifying Online Field Experiments Using The Pigeonhole Design
Strong convergence	On the Convergence of Generalized Proximal Point Algorithms for Monotone Inclusion Problems
strong polynomiality	Some Strongly Polynomially Solvable Convex Quadratic Programs with Bounded Variables Comparing Solution Paths of Sparse Quadratic Minimization with a Stieltjes Matrix
subcontracting	Multi-Module Capacitated Lot-Sizing Problem, and its Generalizations with Two-Echelons and Piecewise Concave Production Costs
subgradient method	A superlinearly convergent subgradient method for sharp semismooth problems
Submodularity	Scheduling Mobile Parcel Lockers Under Customer Choice Stochastic approximate cutting plane algorithms for continuous DR-submodular Maximization
subspace clustering	Integer Programming Approaches to Subspace Clustering with Missing Data
Substitutable Products	Stochastic lot-sizing with substitution and service level constraints
superlinear convergence	A superlinearly convergent subgradient method for sharp semismooth problems
Superquantile	Federated Learning with Heterogeneous Data: A Superquantile Optimization Approach
Supply Chain Debottlenecking	Stochastic Job-Shop Scheduling: Implications on Supply-Chain Operations under Uncertainty
surrogate sparsity functions	Comparing Solution Paths of Sparse Quadratic Minimization with a Stieltjes Matrix
survival function	Drone-Network Queuing Optimization Model for Emergencies
Symmetric Cone	Multiplicative Gradient Method: Theory and Applications
Symmetry	Distributionally Robust Optimization Approaches for a Stochastic Mobile Facility Routing and Scheduling Problem
Synthetic Control	Learning Treatment Effects in Panels with General Intervention Patterns
T
the max k-cut problem	Formulations of the max k-cut problem on classical and quantum computers
tight guarantees	Tight Guarantees for Multi-unit Prophet Inequalities and Online Stochastic Knapsack
top-$k$ list	Approximate Condorcet Partitioning: Solving Very Large Rank Aggregation Problems at Scale
Top-k list aggregation	Approximate Condorcet Partitioning: Solving Very Large Rank Aggregation Problems at Scale
Tractability	DFO: A Robust Framework for Data-driven Decision-making with Outliers
tradespace analysis	Application of Decomposition and Coordination Techniques on Multiobjective Engineering Design Problems
transmission line switching	Tightening Quadratic Convex Relaxations for the AC Optimal Transmission Switching Problem
Transportation	Using OR to Prioritize Transportation Network Resilience Investments
traveling salesman problem	Incorporating Intuition in Last-Mile Routing
Tri-level programming	Best Response Intersection: An Optimal Algorithm for Interdiction Defense
tridiagonal	A Graph-based Decomposition Method for Convex Quadratic Optimization with Indicators
Truncated SVD	Beyond Symmetry: Best Submatrix Selection for the Sparse Truncated SVD
trust region methods	A Trust Region Method for the Optimization of Noisy Functions
trust-region optimization	Complexity Analysis of Trust-Region Optimization with Adaptive Sampling for Zeroth-Order Stochastic Oracles
Two-stage	An Active-set Method For Two-Stage Stochastic Quadratic Programming
two-stage problem	Distributionally Robust Optimization with Decision-Dependent Information Discovery
two-stage problems	A Lagrangian Dual Method for Two-Stage Robust Optimization with Binary Uncertainties
Two-stage robust optimization	LP-based Approximations for Disjoint Bilinear and Two-Stage Adjustable Robust Optimization
two-stage stochastic programming	A risk-averse and chance-constrained two-stage stochastic programming model for pharmaceutical supply chain management under demand uncertainty Distributionally Robust Two-Stage Convex Quadratic Programming Projection Cuts for Two-Stage Stochastic Mixed-Integer Programs Exact Benders Adaptive-cut Method for Two-Stage Stochastic Programs
U
Ultra-high dimensionality	The backbone method for ultra-high dimensional sparse machine learning
uncertain offer acceptance	Robust online selection with uncertain offer acceptance
Unit commitment	An Open and Realistic Large-Scale Stochastic Unit Commitment Case: Data and Experimental Baseline On The Structure Of DD-representable MIPs With Application To Unit Commitment Joint Chance-Constrained Predictive Generation and Line Maintenance Planning with Operations Scheduling under Sensor-Driven Failure Uncertainty
V
Valid Inequalities	On Generating Lagrangian Cuts for Two-Stage Stochastic Integer Programs
Variable selection	Generalized ADMM Framework for Non-overlapping Group Selection
Variance reduction	Katyusha Acceleration for Convex Finite-Sum Compositional Optimization Decentralized Composite Optimization with Compression
Vehicle routing	Routing and resource allocation in non-profit settings with equity and efficiency measures under demand uncertainty Bilevel models for location-based pricing problems in online retail
Vehicle sharing systems	Pricing in On-Demand (and One-Way) Vehicle Sharing Networks
VIKOR Technique	Evaluation of Waste Disposal Alternatives in Healthcare Systems
volume	Gaining or Losing Perspective for Convex Multivariate Functions
Voronoi restart	A global optimization framework with machine learning models to inform early termination
W
Wasserstein ambiguity	Convex Chance-Constrained Programs with Wasserstein Ambiguity
Wasserstein distance	Effective scenarios in Two-stage DRO: properties and acceleration of decomposition algorithms Data-driven Multistage Distributionally Robust Optimization
Wasserstein distributionally robust optimization	Dual Dynamic Programming for Data Driven Distributionally Robust Multistage Convex Optimization
Waste Treatment	Evaluation of Waste Disposal Alternatives in Healthcare Systems
Weak convergence	On the Convergence of Generalized Proximal Point Algorithms for Monotone Inclusion Problems
Wilson's Algorithm	Using Multicriteria Optimization and Simulated Annealing to Construct Political Districts
Wireless sensor networks	An Exact Optimization Approach for Relay Node Location in Wireless Sensor Networks
worst-case complexity	Conjugate gradient methods for nonconvex optimization Worst-Case Complexity of an SQP Method for Nonlinear Equality Constrained Stochastic Optimization
Z
Z-matrix	Some Strongly Polynomially Solvable Convex Quadratic Programs with Bounded Variables
zeroth-order optimization	Stochastic Zeroth-order Riemannian Derivative Estimation and Optimization

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