{"total":15,"rows":[{"id":"2306.10374","title":"A Survey of Contextual Optimization Methods for Decision Making under Uncertainty","created":"2023-06-17","cited_by_count":82,"area":null},{"id":"2103.15965","title":"Strong Optimal Classification Trees","created":"2021-03-29","cited_by_count":28,"area":null},{"id":"2209.01874","title":"The Best Decisions Are Not the Best Advice: Making Adherence-Aware Recommendations","created":"2022-09-05","cited_by_count":16,"area":null},{"id":"2208.12570","title":"A Framework for Inherently Interpretable Optimization Models","created":"2022-08-26","cited_by_count":8,"area":null},{"id":"2105.08877","title":"Deep Reinforcement Learning for Optimal Stopping with Application in Financial Engineering","created":"2021-05-19","cited_by_count":6,"area":null},{"id":"2111.09933","title":"Loss Functions for Discrete Contextual Pricing with Observational Data","created":"2021-11-18","cited_by_count":6,"area":null},{"id":"2110.10994","title":"Interpretable Machine Learning for Resource Allocation with Application to Ventilator Triage","created":"2021-10-21","cited_by_count":2,"area":null},{"id":"2310.05479","title":"Deep Optimal Timing Strategies for Time Series","created":"2023-10-09","cited_by_count":2,"area":null},{"id":"2203.13446","title":"Randomized Policy Optimization for Optimal Stopping","created":"2022-03-25","cited_by_count":1,"area":null},{"id":"2409.01869","title":"Feature-Based Interpretable Surrogates for Optimization","created":"2024-09-03","cited_by_count":1,"area":null},{"id":"2501.05942","title":"Soft regression trees: a model variant and a decomposition training algorithm","created":"2025-01-10","cited_by_count":1,"area":null},{"id":"2106.11389","title":"Robust and Heterogenous Odds Ratio: Estimating Price Sensitivity for Unbought Items","created":"2021-06-21","cited_by_count":0,"area":null},{"id":"2212.02255","title":"A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study","created":"2022-12-01","cited_by_count":0,"area":null},{"id":"2607.10207","title":"How much Data do We Need? Sequential Data Collection for Stochastic Programming","created":"2026-07-11","cited_by_count":0,"area":null},{"id":"2607.22774","title":"CC-AOS: Cost- and Horizon-Conditioned Amortized Backward Induction for Finite-Horizon Optimal Stopping","created":"2026-07-24","cited_by_count":0,"area":null}],"next_cursor":null}