Tom Yan

According to our database, Tom Yan authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Foundations of Testing for Finite-Sample Causal Discovery.

Tom Yan, Ziyu Xu, Zachary Chase Lipton

Proceedings of the Forty-first International Conference on Machine Learning, 2024

The Human-AI Substitution game: active learning from a strategic labeler.

Tom Yan, Chicheng Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Discovering Optimal Scoring Mechanisms in Causal Strategic Prediction.

Tom Yan, Shantanu Gupta, Zachary C. Lipton

CoRR, 2023

2022

Active fairness auditing.

Tom Yan, Chicheng Zhang

Proceedings of the International Conference on Machine Learning, 2022

Margin-distancing for safe model explanation.

Tom Yan, Chicheng Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Revenue maximization via machine learning with noisy data.

Ellen Vitercik, Tom Yan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

If You Like Shapley Then You'll Love the Core.

Tom Yan, Ariel D. Procaccia

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Inverse Reinforcement Learning From Like-Minded Teachers.

Ritesh Noothigattu, Tom Yan, Ariel D. Procaccia

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions.

Tom Yan, Christian Kroer, Alexander Peysakhovich

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018