optimal stopping

Sequential Selling with Sunk Cost Bias AAAI 2026 TurboTest: Learning When Less is Enough through Early Termination of Internet Speed Tests NSDI 2026 Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test ICLR 2025 Learning to Stop: Deep Learning for Mean Field Optimal Stopping ICML 2025 When to Learn and When to Stop: Quitting at the Optimal Time (Student Abstract) AAAI 2025 Deep Reinforcement Learning for Early Diagnosis of Lung Cancer AAAI 2024 Intrinsic Robustness of Prophet Inequality to Strategic Reward Signaling NeurIPS 2024 Lookback Prophet Inequalities NeurIPS 2024 Deep Recurrent Optimal Stopping NeurIPS 2023 Fast and Regret Optimal Best Arm Identification: Fundamental Limits and Low-Complexity Algorithms NeurIPS 2023 Warm-Starting Nested Rollout Policy Adaptation with Optimal Stopping AAAI 2023 Weitzman's Rule for Pandora's Box with Correlations NeurIPS 2023 When to Make and Break Commitments? ICLR 2023 Competitive Analysis for Multi-Commodity Ski-Rental Problem IJCAI 2022 The Two-Sided Game of Googol JMLR 2022 When to Intervene: Learning Optimal Intervention Policies for Critical Events NeurIPS 2022 A/B/n Testing with Control in the Presence of Subpopulations NeurIPS 2021 Learning to Stop with Surprisingly Few Samples COLT 2021 Optimal Best-arm Identification in Linear Bandits NeurIPS 2020 Prophet Inequalities for Bayesian Persuasion IJCAI 2020 Prophets, Secretaries, and Maximizing the Probability of Choosing the Best AISTATS 2020 Bayesian Optimization Meets Bayesian Optimal Stopping ICML 2019 Deep Optimal Stopping JMLR 2019 Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling NeurIPS 2018 Sample Efficient Policy Search for Optimal Stopping Domains IJCAI 2017