9 citations · 24 across the 10 of their papers we have counts for
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cs.LG2021
Variance Minimization in the Wasserstein Space for Invariant Causal Prediction
Guillaume Martinet, Alexander Strzalkowski, Barbara E. Engelhardt
Selecting powerful predictors for an outcome is a cornerstone task for machine learning. However, some types of questions can only be answered by identifying the predictors that ca…
cs.LG2021
Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations
Aishwarya Mandyam, Andrew Jones, Jiayu Yao +2
Reinforcement learning (RL) is an effective framework for solving sequential decision-making tasks. However, applying RL methods in medical care settings is challenging in part due…