Yan, Tom

11 publications

NeurIPS 2025 Stackelberg Learning with Outcome-Based Payment Tom Yan, Chicheng Zhang

NeurIPS 2024 A Theoretical Case-Study of Scalable Oversight in Hierarchical Reinforcement Learning Tom Yan, Zachary Lipton

ICML 2024 Foundations of Testing for Finite-Sample Causal Discovery Tom Yan, Ziyu Xu, Zachary Chase Lipton

ICLR 2024 The Human-AI Substitution Game: Active Learning from a Strategic Labeler Tom Yan, Chicheng Zhang

AISTATS 2022 Margin-Distancing for Safe Model Explanation Tom Yan, Chicheng Zhang

ICML 2022 Active Fairness Auditing Tom Yan, Chicheng Zhang

AAAI 2021 If You like Shapley Then You'll Love the Core Tom Yan, Ariel D. Procaccia

AAAI 2021 Inverse Reinforcement Learning from Like-Minded Teachers Ritesh Noothigattu, Tom Yan, Ariel D. Procaccia

NeurIPS 2021 Revenue Maximization via Machine Learning with Noisy Data Ellen Vitercik, Tom Yan

NeurIPS 2020 Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions Tom Yan, Christian Kroer, Alexander Peysakhovich

AAAI 2018 Semi-Supervised Biomedical Translation with Cycle Wasserstein Regression GANs Matthew B. A. McDermott, Tom Yan, Tristan Naumann, Nathan Hunt, Harini Suresh, Peter Szolovits, Marzyeh Ghassemi