Mathematics of Operations Research

Papers
(The TQCC of Mathematics of Operations Research is 4. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-10-01 to 2025-10-01.)
ArticleCitations
Editorial Board208
Polyhedral Clinching Auctions for Two-Sided Markets33
Computation of Dynamic Equilibria in Series-Parallel Networks32
A New Finite Approximation Method for Evaluating Steady-State Performance of a Continuous-State Markov Chain with an Application to Queues with Customer Abandonment30
Randomized Block-Coordinate Optimistic Gradient Algorithms for Root-Finding Problems27
Online Allocation of Reusable Resources in Nonstationary Environments26
Optimality Conditions at Infinity in Semialgebraic Vector Optimization25
A Policy Gradient Algorithm for the Risk-Sensitive Exponential Cost MDP24
A Geometric Model of Opinion Polarization24
Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization24
Many-Server Asymptotics for Join-the-Shortest-Queue in the Super-Halfin-Whitt Scaling Window23
Posted Price Mechanisms and Optimal Threshold Strategies for Random Arrivals21
Control of Fork-Join Processing Networks with Multiple Job Types and Parallel Shared Resources20
A Stochastic Representation for Nonlocal Parabolic PDEs with Applications20
A Feasible Method for Solving an SDP Relaxation of the Quadratic Knapsack Problem20
Solving Strong-Substitutes Product-Mix Auctions20
Constrained Trading Networks19
Asymptotic Optimality of Constant-Order Policies in Joint Pricing and Inventory Models18
Exactness of Parrilo’s Conic Approximations for Copositive Matrices and Associated Low Order Bounds for the Stability Number of a Graph16
On the Diameter of the Stopped Spider Process16
Stochastic Graphon Games: I. The Static Case16
The Information Projection in Moment Inequality Models: Existence, Dual Representation, and Approximation15
Distributionally Robust Inventory Control When Demand Is a Martingale15
Fast Rates for the Regret of Offline Reinforcement Learning15
On the Simplex Method for 0/1-Polytopes15
Robust Online Selection with Uncertain Offer Acceptance15
Uniform Moment Bounds for Generalized Jackson Networks in Multiscale Heavy Traffic14
Lower Complexity Bounds of First-Order Methods for Affinely Constrained Composite Nonconvex Problems14
A Primal–Dual Learning Algorithm for Personalized Dynamic Pricing with an Inventory Constraint14
Slater Condition for Tangent Derivatives14
Difference-of-Convex Algorithm with Extrapolation for Nonconvex, Nonsmooth Optimization Problems14
Finite State Mean Field Games with Wright–Fisher Common Noise as Limits ofN-Player Weighted Games13
Pure Nash Equilibria and Best-Response Dynamics in Random Games13
The Online Saddle Point Problem and Online Convex Optimization with Knapsacks13
Contextual Bandits with Cross-Learning13
Parametric Computation of Minimum-Cost Flows with Piecewise Quadratic Costs13
A Machine Learning Method for Stackelberg Mean Field Games13
Editorial Board13
Optimal Partition for a Multi-Type Queueing System12
The Power of Subsampling in Submodular Maximization12
Reduction of Potential-Based Flow Networks12
Improved Guarantees for Offline Stochastic Matching via New Ordered Contention Resolution Schemes12
Suboptimal Local Minima Exist for Wide Neural Networks with Smooth Activations12
Equilibria in Multiclass and Multidimensional Atomic Congestion Games11
Scalable Computation of Dynamic Flow Problems via Multimarginal Graph-Structured Optimal Transport11
Managing Customer Churn via Service Mode Control11
Value Functions and Optimality Conditions for Nonconvex Variational Problems with an Infinite Horizon in Banach Spaces11
Variance-Reduced Accelerated First-Order Methods: Central Limit Theorems and Confidence Statements11
A Semidefinite Relaxation Method for Partially Symmetric Tensor Decomposition11
Many-Server Heavy-Traffic Limits for Queueing Systems with Perfectly Correlated Service and Patience Times11
Approximation and Convergence of Large Atomic Congestion Games10
A Classical Search Game in Discrete Locations10
A First-Order Primal-Dual Method for Nonconvex Constrained Optimization Based on the Augmented Lagrangian10
A New Approach to Capacity Scaling Augmented with Unreliable Machine Learning Predictions10
Optimization Under Rational Expectations: A Framework of Fully Coupled Forward-Backward Stochastic Linear Quadratic Systems10
A Riemannian Alternating Direction Method of Multipliers10
Steiner Cut Dominants10
Contingent Capital with Stock Price Triggers in Interbank Networks10
Multiplayer Bandits Without Observing Collision Information9
Dissolving Constraints for Riemannian Optimization9
On Integer Programming, Discrepancy, and Convolution9
Scalar Multivariate Risk Measures with a Single Eligible Asset9
Satiation in Fisher Markets and Approximation of Nash Social Welfare9
Linear and Utilitarian Choice Functions: Revisiting Myerson’s Theorem9
Multiagent Online Learning in Time-Varying Games8
An Adaptive Lagrangian-Based Scheme for Nonconvex Composite Optimization8
Distribution-Free Contextual Dynamic Pricing8
A Mean Field Game of Optimal Portfolio Liquidation8
Monotone Inclusions, Acceleration, and Closed-Loop Control8
Fair-Share Allocations for Agents with Arbitrary Entitlements8
Equilibria and Systemic Risk in Saturated Networks8
Quasi-Polynomial Algorithms for Submodular Tree Orienteering and Directed Network Design Problems8
Well-Posedness and Sensitivity Analysis of a Fluid Model for Multiclass Many-Server Queues with Abandonment Under Global FCFS Discipline8
Large Ranking Games with Diffusion Control8
Multivariate Monotone Inclusions in Saddle Form8
Large Deviations for the Single-Server Queue and the Reneging Paradox8
Asymptotic Nash Equilibria of Finite-State Ergodic Markovian Mean Field Games7
ρ-Arbitrage and ρ-Consistent Pricing for Star-Shaped Risk Measures7
A Fast Temporal Decomposition Procedure for Long-Horizon Nonlinear Dynamic Programming7
Maximizing Nash Social Welfare in 2-Value Instances: Delineating Tractability7
Game on Random Environment, Mean-Field Langevin System, and Neural Networks7
Diffusion of New Products with Heterogeneous Consumers7
Rate-Optimal Bayesian Simple Regret in Best Arm Identification7
Erratum to “Budgeted Prize-Collecting Traveling Salesman and Minimum Spanning Tree Problems”7
Bounds on the Optimal Radius When Covering a Set with Minimum Radius Identical Disks7
Repeated Games with Incomplete Information over Predictable Systems7
Semidefinite Approximations for Bicliques and Bi-Independent Pairs7
How to Design a Stable Serial Knockout Competition7
A Label-State Formulation of Stochastic Graphon Games and Approximate Equilibria on Large Networks6
Approximation Algorithms and Linear Programming Relaxations for Scheduling Problems Related to Min-Sum Set Cover6
Stochastic Control Problems with State Reflections Arising from Relaxed Benchmark Tracking6
A Polynomial-Time Algorithm for the Probabilistic Profitable Tour Problem on a Tree6
A Characterization of Simultaneous Optimization, Majorization, and (Bi-)Submodular Polyhedra6
Large Independent Sets in Recursive Markov Random Graphs6
Information Design and Sharing in Supply Chains6
Tractable Relaxations of Composite Functions6
Fluid Limits for Longest Job First Queues6
Naive Feature Selection: A Nearly Tight Convex Relaxation for Sparse Naive Bayes6
Towards Optimal Problem Dependent Generalization Error Bounds in Statistical Learning Theory6
Deep Quadratic Hedging6
Polynomial Voting Rules6
On the Effect of Symmetry Requirement for Rendezvous on the Complete Graph6
Many-Server Queues with Random Service Rates: A Unified Framework Based on Measure-Valued Processes6
Constrained Information Design6
Distributionally Robust Stochastic Optimization with Wasserstein Distance6
A Riemannian Smoothing Steepest Descent Method for Non-Lipschitz Optimization on Embedded Submanifolds of Rn6
Fair Cake Division Under Monotone Likelihood Ratios5
Can Learning Be Explained by Local Optimality in Robust Low-Rank Matrix Recovery?5
Convergent Nested Alternating Minimization Algorithms for Nonconvex Optimization Problems5
A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization5
Editorial Board5
Conditional Uniformity and Hawkes Processes5
The Folk Theorem for Repeated Games with Time-Dependent Discounting5
Improved Guarantees for the A Priori TSP5
Langevin Dynamics Based Algorithm e-THεO POULA for Stochastic Optimization Problems with Discontinuous Stochastic Gradient5
Optimal Ratcheting of Dividends with Capital Injection5
Sampling from the Gibbs Distribution in Congestion Games5
Relaxed Equilibria for Time-Inconsistent Markov Decision Processes5
The Competition Complexity of Dynamic Pricing5
Sums of Separable and Quadratic Polynomials5
Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation5
Online Estimation and Optimization of Utility-Based Shortfall Risk5
Order Independence in Sequential, Issue-by-Issue Voting5
Stationary Discounted and Ergodic Mean Field Games with Singular Controls5
Quantitative Convergence for Displacement Monotone Mean Field Games with Controlled Volatility5
Upper Bounds for All and Max-Gain Policy Iteration Algorithms on Deterministic MDPs5
Convergence Analysis of Accelerated Stochastic Gradient Descent Under the Growth Condition5
Penalty and Augmented Lagrangian Methods for Constrained DC Programming5
Extension of Monotonic Functions and Representation of Preferences5
A New Augmented Lagrangian Method for MPCCs—Theoretical and Numerical Comparison with Existing Augmented Lagrangian Methods4
Small-Loss Bounds for Online Learning with Partial Information4
A Simple Characterization of Supply Correspondences4
Exactness Conditions for Semidefinite Programming Relaxations of Generalization of the Extended Trust Region Subproblem4
Strong Embeddings for Transitory Queueing Models4
Editorial Board4
Exit Game with Private Information4
Efficient and Near-Optimal Online Portfolio Selection4
Improved Bounds for Single-Nomination Impartial Selection4
(No-)Betting Pareto Optima Under Rank-Dependent Utility4
Bounding Residence Times for Atomic Dynamic Routings4
Robustness and Approximation of Discrete-Time Mean-Field Games Under Discounted Cost Criterion4
Fluid Limits for Longest Remaining Time First Queues4
Dynkin Games with Incomplete and Asymmetric Information4
An Optimal Streaming Algorithm for Submodular Maximization with a Cardinality Constraint4
Diffusion-Based Staffing for Multitasking Service Systems with Many Servers4
Stochastic Approximation Proximal Method of Multipliers for Convex Stochastic Programming4
Dense Orbits of the Bayesian Updating Group Action4
Investment Timing and Technological Breakthroughs4
Global Algorithms for Mean-Variance Optimization in Markov Decision Processes4
Submodular Functions and Perfect Graphs4
Convexification of Permutation-Invariant Sets and an Application to Sparse Principal Component Analysis4
A Squared Smoothing Newton Method for Semidefinite Programming4
A New Homotopy Proximal Variable-Metric Framework for Composite Convex Minimization4
The Cost of Nonconvexity in Deterministic Nonsmooth Optimization4
An Accelerated Newton–Dinkelbach Method and Its Application to Two Variables per Inequality Systems4
Local Density Estimation in High Dimensions4
A Case Study on Stochastic Games on Large Graphs in Mean Field and Sparse Regimes4
Hidden Integrality and Semirandom Robustness of SDP Relaxation for Sub-Gaussian Mixture Model4
Nontruthful Position Auctions Are More Robust to Misspecification4
Accelerated Stochastic Algorithms for Convex-Concave Saddle-Point Problems4
Intersection Disjunctions for Reverse Convex Sets4
Editorial Board4
Inexact Bregman Proximal Gradient Method and Its Inertial Variant with Absolute and Partial Relative Stopping Criteria4
Editorial Board4
From Perspective Maps to Epigraphical Projections4
Secretaries with Advice4
Reducing Bias in Event Time Simulations via Measure Changes4
Two Typical Implementable Semismooth* Newton Methods for Generalized Equations Are G-Semismooth Newton Methods4
Certainty-Equivalent Pricing with Dependent Demand and Limited Price-Changing Opportunities4
Analysis of the Primal-Dual Central Path for Nonlinear Semidefinite Optimization Without the Nondegeneracy Condition4
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