Ops Res
Introduction
Operations Research, 73(2)
INTEREST CATEGORY: MARKETING RESEARCH
POSTING TYPE: TOCs
Search for an Immobile Hider on a Binary Tree with Unreliable Locational Information
—Steve Alpern and Thomas Lidbetter []
Robust Workforce Management with Crowdsourced Delivery
—Chun Cheng, Melvyn Sim, and Yue Zhao []
Budget-Driven Multiperiod Hub Location: A Robust Time-Series Approach
—Jie Hu, Zhi Chen, and Shuming Wang []
Monetizing Positive Externalities to Mitigate the Infrastructure Underinvestment Problem
—Hao Bai, Alain Bensoussan, Gordon Briest, and Benoît Chevalier-Roignant []
Generalization Guarantees for Multi-Item Profit Maximization: Pricing, Auctions, and Randomized Mechanisms
—Maria-Florina Balcan, Tuomas Sandholm, and Ellen Vitercik []
Asymptotically Tight Bounds on the Optimal Pricing Strategy with Patient Customers
—Shuaijie Qian, Xizhi Su, and Chao Zhou []
Ordinary and Prophet Planning Under Uncertainty in Bernoulli Congestion Games
—Roberto Cominetti, Marco Scarsini, Marc Schröder, and Nicolas E. Stier-Moses []
On (Random-Order) Online Contention Resolution Schemes for the Matching Polytope of (Bipartite) Graphs
—Calum MacRury, Will Ma, and Nathaniel Grammel []
Efficient Algorithms for a Class of Stochastic Hidden Convex Optimization and Its Applications in Network Revenue Management
—Xin Chen, Niao He, Yifan Hu, and Zikun Ye []
Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees
—Siliang Zeng, Mingyi Hong, and Alfredo Garcia []
EFX: A Simpler Approach and an (Almost) Optimal Guarantee via Rainbow Cycle Number
—Hannaneh Akrami, Noga Alon, Bhaskar Ray Chaudhury, Jugal Garg, Kurt Mehlhorn, and Ruta Mehta []
Political Districting to Minimize County Splits
—Maral Shahmizad and Austin Buchanan []
Temporal Fairness in Learning and Earning: Price Protection Guarantee and Phase Transitions
—Qing Feng, Ruihao Zhu, and Stefanus Jasin []
Stochastic Online Fisher Markets: Static Pricing Limits and Adaptive Enhancements
—Devansh Jalota and Yinyu Ye []
Technical Note – On Adaptivity in Nonstationary Stochastic Optimization with Bandit Feedback
—Yining Wang []
Technical Note – A Data-Driven Approach to Beating SAA Out of Sample
—Jun-ya Gotoh, Michael Jong Kim, and Andrew E. B. Lim []
Improved Decision Rule Approximations for Multistage Robust Optimization via Copositive Programming
—Guanglin Xu and Grani A. Hanasusanto []
A Unified Theory of Robust and Distributionally Robust Optimization via the Primal-Worst-Equals-Dual-Best Principle
—Jianzhe Zhen, Daniel Kuhn, and Wolfram Wiesemann []
Multivariate Almost Stochastic Dominance: Transfer Characterizations and Sufficient Conditions Under Dependence Uncertainty
—Alfred Müller, Marco Scarsini, Ilia Tsetlin, and Robert L. Winkler []
Learning and Optimization with Seasonal Patterns
—Ningyuan Chen, Chun Wang, and Longlin Wang []
A Doubly Stochastic Simulator with Applications in Arrivals Modeling and Simulation
—Yufeng Zheng, Zeyu Zheng, and Tingyu Zhu []
Stochastic Localization Methods for Convex Discrete Optimization via Simulation
—Haixiang Zhang, Zeyu Zheng, and Javad Lavaei []
Customer Scheduling in Large Service Systems Under Model Uncertainty
—Shiwei Chai, Xu Sun, and Hossein ÂÜÀòÉç¹ÙÍøee-Mehrizi []
Distributionally Robust Optimization Under Distorted Expectations
—Jun Cai, Jonathan Yu-Meng Li, and Tiantian Mao []
Technical Note – Improved Sample-Complexity Bounds in Stochastic Optimization
—Alok Baveja, Amit Chavan, Andrei Nikiforov, Aravind Srinivasan, and Pan Xu []
Online Matching Frameworks Under Stochastic Rewards, Product Ranking, and Unknown Patience
—Brian Brubach, Nathaniel Grammel, Will Ma, and Aravind Srinivasan []
Mixed-Integer Optimization with Constraint Learning
—Donato Maragno, Holly Wiberg, Dimitris Bertsimas, Åž. Ä°lker Birbil, Dick den Hertog, and Adejuyigbe O. Fajemisin []
Fluid Policies, Reoptimization, and Performance Guarantees in Dynamic Resource Allocation
—David B. Brown and Jingwei Zhang []
Inverse Optimization: Theory and Applications
—Timothy C. Y. Chan, Rafid Mahmood, and Ian Yihang Zhu []
Linear Classifiers Under Infinite Imbalance
—Paul Glasserman and Mike Li []
Computing Bayes–Nash Equilibrium Strategies in Auction Games via Simultaneous Online Dual Averaging
—Martin Bichler, Max Fichtl, and Matthias Oberlechner []
Recovering Dantzig–Wolfe Bounds by Cutting Planes
—Rui Chen, Oktay Günlük, and Andrea Lodi []
Technical Note – On the Convergence Rate of Stochastic Approximation for Gradient-Based Stochastic Optimization
—Jiaqiao Hu and Michael C. Fu []