{"total":22,"rows":[{"id":"2206.09642","title":"Beyond IID: data-driven decision-making in heterogeneous environments","created":"2022-06-20","cited_by_count":9,"area":null},{"id":"2211.13291","title":"Learning and Testing Latent-Tree Ising Models Efficiently","created":"2022-11-23","cited_by_count":7,"area":null},{"id":"2302.11700","title":"New Guarantees for Learning Revenue Maximizing Menus of Lotteries and Two-Part Tariffs","created":"2023-02-22","cited_by_count":4,"area":null},{"id":"2107.06259","title":"Robust Learning of Optimal Auctions","created":"2021-07-13","cited_by_count":3,"area":null},{"id":"2312.04653","title":"Learning Thresholds with Latent Values and Censored Feedback","created":"2023-12-07","cited_by_count":3,"area":null},{"id":"2511.21008","title":"Estimating Ising Models in Total Variation Distance","created":"2025-11-26","cited_by_count":3,"area":null},{"id":"2107.10450","title":"Learning Sparse Fixed-Structure Gaussian Bayesian Networks","created":"2021-07-22","cited_by_count":2,"area":null},{"id":"2110.12558","title":"Recommender Systems meet Mechanism Design","created":"2021-10-25","cited_by_count":2,"area":null},{"id":"2205.02060","title":"Estimation of Standard Auction Models","created":"2022-05-04","cited_by_count":2,"area":null},{"id":"2302.08108","title":"User Response in Ad Auctions: An MDP Formulation of Long-Term Revenue Optimization","created":"2023-02-16","cited_by_count":1,"area":null},{"id":"2405.07038","title":"Online Auction Design Using Distribution-Free Uncertainty Quantification with Applications to E-Commerce","created":"2024-05-11","cited_by_count":1,"area":null},{"id":"2405.07914","title":"Distribution Learning Meets Graph Structure Sampling","created":"2024-05-13","cited_by_count":1,"area":null},{"id":"2407.00927","title":"Learnability of Parameter-Bounded Bayes Nets","created":"2024-07-01","cited_by_count":1,"area":null},{"id":"2506.02284","title":"Learning Optimal Posted Prices for a Unit-Demand Buyer","created":"2025-06-02","cited_by_count":1,"area":null},{"id":"2207.13126","title":"Sample Complexity of Forecast Aggregation","created":"2022-07-26","cited_by_count":0,"area":null},{"id":"2302.00941","title":"A Robust Multi-Item Auction Design with Statistical Learning","created":"2023-02-02","cited_by_count":0,"area":null},{"id":"2310.07874","title":"Refined Mechanism Design for Approximately Structured Priors via Active Regression","created":"2023-10-11","cited_by_count":0,"area":null},{"id":"2505.16829","title":"Contextual Learning for Stochastic Optimization","created":"2025-05-22","cited_by_count":0,"area":null},{"id":"2507.02801","title":"Learning to Coordinate Bidders in Non-Truthful Auctions","created":"2025-07-03","cited_by_count":0,"area":null},{"id":"2602.10483","title":"Pricing Query Complexity of Multiplicative Revenue Approximation","created":"2026-02-11","cited_by_count":0,"area":null},{"id":"2602.12253","title":"Is Online Linear Optimization Sufficient for Strategic Robustness?","created":"2026-02-12","cited_by_count":0,"area":null},{"id":"2604.26922","title":"On the Learning Curves of Revenue Maximization","created":"2026-04-29","cited_by_count":0,"area":null}],"next_cursor":null}