Tom Yan

16 papers A* 9A 1Journal 6
YearRankTypeTitle / Venue / Authors
2024 A* conf
A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning.
NeurIPS
Tom Yan, Zachary C. Lipton
2024 A* conf
Foundations of Testing for Finite-Sample Causal Discovery.
ICML
Tom Yan, Ziyu Xu, Zachary Chase Lipton
2024 A* conf
The Human-AI Substitution game: active learning from a strategic labeler.
ICLR
Tom Yan, Chicheng Zhang
2023 J jnl
Discovering Optimal Scoring Mechanisms in Causal Strategic Prediction.
CoRR
Tom Yan, Shantanu Gupta, Zachary C. Lipton
2022 J jnl
Active Fairness Auditing.
CoRR
Tom Yan, Chicheng Zhang
2022 A* conf
Active fairness auditing.
ICML
Tom Yan, Chicheng Zhang
2022 A conf
Margin-distancing for safe model explanation.
AISTATS
Tom Yan, Chicheng Zhang
2022 J jnl
Margin-distancing for safe model explanation.
CoRR
Tom Yan, Chicheng Zhang
2021 A* conf
If You Like Shapley Then You'll Love the Core.
AAAI
Tom Yan, Ariel D. Procaccia
2021 A* conf
Inverse Reinforcement Learning From Like-Minded Teachers.
AAAI
Ritesh Noothigattu, Tom Yan, Ariel D. Procaccia
2021 A* conf
Revenue maximization via machine learning with noisy data.
NeurIPS
Ellen Vitercik, Tom Yan
2020 A* conf
Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions.
NeurIPS
Tom Yan, Christian Kroer, Alexander Peysakhovich
2020 J jnl
Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions.
CoRR
Tom Yan, Christian Kroer, Alexander Peysakhovich
2020 J jnl
Moments in Time Dataset: One Million Videos for Event Understanding.
IEEE Trans. Pattern Anal. Mach. Intell.
Mathew Monfort, Carl Vondrick, Aude Oliva, Alex Andonian, Bolei Zhou, Kandan Ramakrishnan, Sarah Adel Bargal, Tom Yan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund
2018 J jnl
Moments in Time Dataset: one million videos for event understanding.
CoRR
Mathew Monfort, Bolei Zhou, Sarah Adel Bargal, Alex Andonian, Tom Yan, Kandan Ramakrishnan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund, Carl Vondrick, Aude Oliva
2018 A* conf
Semi-Supervised Biomedical Translation With Cycle Wasserstein Regression GANs.
AAAI
Matthew B. A. McDermott, Tom Yan, Tristan Naumann, Nathan Hunt, Harini Suresh, Peter Szolovits, Marzyeh Ghassemi