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 (AAAI, 2018)

Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions. - Tom Yan; Christian Kroer; Alexander Peysakhovich (NeurIPS, 2020)

Moments in Time Dataset: One Million Videos for Event Understanding. - Mathew Monfort; Carl Vondrick; Aude Oliva; Alex Andonian; Bolei Zhou; Kandan Ramakrishnan; Sarah Adel Bargal; Tom Yan; Lisa M. Brown; Quanfu Fan; Dan Gutfreund (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Inverse Reinforcement Learning From Like-Minded Teachers. - Ritesh Noothigattu; Tom Yan; Ariel D. Procaccia (AAAI, 2021)

If You Like Shapley Then You'll Love the Core. - Tom Yan; Ariel D. Procaccia (AAAI, 2021)

Revenue maximization via machine learning with noisy data. - Ellen Vitercik; Tom Yan (NeurIPS, 2021)

Margin-distancing for safe model explanation. - Tom Yan; Chicheng Zhang (AISTATS, 2022)

Active fairness auditing. - Tom Yan; Chicheng Zhang (ICML, 2022)

Discovering Optimal Scoring Mechanisms in Causal Strategic Prediction. - Tom Yan; Shantanu Gupta; Zachary C. Lipton (CoRR, 2023)

The Human-AI Substitution game: active learning from a strategic labeler. - Tom Yan; Chicheng Zhang (ICLR, 2024)

Foundations of Testing for Finite-Sample Causal Discovery. - Tom Yan; Ziyu Xu 001; Zachary Chase Lipton (ICML, 2024)

A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning. - Tom Yan; Zachary C. Lipton (NeurIPS, 2024)