8 citations · 19 across the 11 of their papers we have counts for
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stat.ML2023
Partial identification of kernel based two sample tests with mismeasured data
Ron Nafshi, Maggie Makar
Nonparametric two-sample tests such as the Maximum Mean Discrepancy (MMD) are often used to detect differences between two distributions in machine learning applications. However,…
cs.LG2023
Multi-Similarity Contrastive Learning
Emily Mu, John Guttag, Maggie Makar
Given a similarity metric, contrastive methods learn a representation in which examples that are similar are pushed together and examples that are dissimilar are pulled apart. Cont…
cs.LG2023★ 4 cited
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
Shengpu Tang, Maggie Makar, Michael W. Sjoding +2
Many reinforcement learning (RL) applications have combinatorial action spaces, where each action is a composition of sub-actions. A standard RL approach ignores this inherent fact…