Nonparametric two-sample tests such as the Maximum Mean Discrepancy (MMD...
Given a similarity metric, contrastive methods learn a representation in...
Many reinforcement learning (RL) applications have combinatorial action
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Robustness to distribution shift and fairness have independently emerged...
Robustness to certain distribution shifts is a key requirement in many M...
Estimation of individual treatment effects is often used as the basis fo...
Risk prediction is central to both clinical medicine and public health. ...