3 citations · 6 across the 4 of their papers we have counts for
5 papers
Discovering Optimal Scoring Mechanisms in Causal Strategic Prediction
Tom Yan, Shantanu Gupta, Zachary Lipton
Faced with data-driven policies, individuals will manipulate their features to obtain favorable decisions. While earlier works cast these manipulations as undesirable gaming, recen…
Active Fairness Auditing
Tom Yan, Chicheng Zhang
The fast spreading adoption of machine learning (ML) by companies across industries poses significant regulatory challenges. One such challenge is scalability: how can regulatory b…
Margin-distancing for safe model explanation
Tom Yan, Chicheng Zhang
The growing use of machine learning models in consequential settings has highlighted an important and seemingly irreconcilable tension between transparency and vulnerability to gam…
Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions
Tom Yan, Christian Kroer, Alexander Peysakhovich
Can we predict how well a team of individuals will perform together? How should individuals be rewarded for their contributions to the team performance? Cooperative game theory giv…
Moments in Time Dataset: one million videos for event understanding
Mathew Monfort, Alex Andonian, Bolei Zhou +8
We present the Moments in Time Dataset, a large-scale human-annotated collection of one million short videos corresponding to dynamic events unfolding within three seconds. Modelin…