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cs.LG2026
Representation Learning for Sample-Efficient CATE Estimation by Leveraging Multiple Outcomes
Maitreyi Swaroop, Shikha Bhat, Samantha Rodriguez +2
Estimating conditional average treatment effects (CATE) enables efficient targeting of interventions, but many applications have limited experimental samples, making it difficult t…
cs.LG2025
Distributionally Robust Feature Selection
Maitreyi Swaroop, Tamar Krishnamurti, Bryan Wilder
We study the problem of selecting limited features to observe such that models trained on them can perform well simultaneously across multiple subpopulations. This problem has appl…