ÂÜÀòÉç¹ÙÍø

INTEREST CATEGORY: MARKETING RESEARCH
POSTING TYPE: TOCs

---

Error Propagation in Asymptotic Analysis of the Data-Driven (s, S) Inventory Policy
—Xun Zhang, Zhi-Sheng Ye, and William B. Haskell []

Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting
—Joaquim Dias Garcia, Alexandre Street, Tito Homem-de-Mello, and Francisco D. Muñoz []

Preventing Price-Mediated Contagion Due to Fire Sales Externalities: Strategic Foundations of Macroprudential Regulation
—Yann Braouezec and Keyvan Kiani []

Improving the Security of United States Elections with Robust Optimization
—Braden L. Crimmins, J. Alex Halderman, and Bradley Sturt []

Drone-Delivery Network for Opioid Overdose: Nonlinear Integer Queueing-Optimization Models and Methods
—Miguel A. Lejeune and Wenbo Ma []

Online Learning for Constrained Assortment Optimization Under Markov Chain Choice Model
—Shukai Li, Qi Luo, Zhiyuan Huang, and Cong Shi []

The Role of Lookahead and Approximate Policy Evaluation in Reinforcement Learning with Linear Value Function Approximation
—Anna Winnicki, Joseph Lubars, Michael Livesay, and R. Srikant []

Price Interpretability of Prediction Markets: A Convergence Analysis
—Jianjun Gao, Zizhuo Wang, Weiping Wu, and Dian Yu []

Pricing Optimal Outcomes in Coupled and Non-Convex Markets: Theory and Applications to Electricity Markets
—Mete Åžeref Ahunbay, Martin Bichler, and Johannes Knörr []

Learning to Persuade on the Fly: Robustness Against Ignorance
—You Zu, Krishnamurthy Iyer, and Haifeng Xu []

Optimal No-Regret Learning in Repeated First-Price Auctions
—Yanjun Han, Tsachy Weissman, and Zhengyuan Zhou []

A New Rate-Optimal Sampling Allocation for Linear Belief Models
—Jiaqi Zhou and Ilya O. Ryzhov []

Conic Mixed-Binary Sets: Convex Hull Characterizations and Applications
—Fatma Kılınç-Karzan, Simge Küçükyavuz, Dabeen Lee, and Soroosh Shafieezadeh-Abadeh []

Technical Note – A Stationary Infinite-Horizon Supply Contract Under Asymmetric Inventory Information
—Alain Bensoussan, Suresh Sethi, and Shouqiang Wang []

Technical Note – Online Matching with Bayesian Rewards
—David Simchi-Levi, Rui Sun, and Xinshang Wang []

Behavior-Aware Queueing: The Finite-Buffer Setting with Many Strategic Servers
—Yueyang Zhong, Ragavendran Gopalakrishnan, and Amy R. Ward []

Projective Hedging Algorithms for Multistage Stochastic Programming, Supporting Distributed and Asynchronous Implementation
—Jonathan Eckstein, Jean-Paul Watson, and David L. Woodruff []

Achieving Efficiency in Black-Box Simulation of Distribution Tails with Self-Structuring Importance Samplers
—Anand Deo and Karthyek Murthy []

Scores for Multivariate Distributions and Level Sets
—Xiaochun Meng, James W. Taylor, Souhaib Ben Taieb, and Siran Li []

Expanding Service Capabilities Through an On-Demand Workforce
—Xu Sun and Weiliang Liu []

Gaussian Process-Based Random Search for Continuous Optimization via Simulation
—Xiuxian Wang, L. Jeff Hong, Zhibin Jiang, and Haihui Shen []

Competitive Algorithms for the Online Minimum Peak Job Scheduling
—Célia Escribe, Michael Hu, and Retsef Levi []

Contextual Inverse Optimization: Offline and Online Learning
—Omar Besbes, Yuri Fonseca, and Ilan Lobel []

Strategic Pricing in Volatile Markets
—Sebastian Gryglewicz and Aaron Kolb []

The When and How of Delegated Search
—SaÅ¡a Zorc, Ilia Tsetlin, Sameer Hasija, and Stephen E. Chick []

Optimal Routing to Parallel Servers in Heavy Traffic
—Heng-Qing Ye []

Optimal Routing Under Demand Surges: The Value of Future Arrival Rates
—Jinsheng Chen, Jing Dong, and Pengyi Shi []

Shape-Constrained Regression Using Sum of Squares Polynomials
—Mihaela Curmei and Georgina Hall []

On the Optimality of Greedy Policies in Dynamic Matching
—Süleyman Kerimov, Itai Ashlagi, and Itai Gurvich []