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stat.ML2025

Learning Counterfactual Distributions via Kernel Nearest Neighbors

Kyuseong Choi, Jacob Feitelberg, Caleb Chin +2

Consider a setting with multiple units (e.g., individuals, cohorts, geographic locations) and outcomes (e.g., treatments, times, items), where the goal is to learn a multivariate d…

stat.ML2025

Distributional Matrix Completion via Nearest Neighbors in the Wasserstein Space

Jacob Feitelberg, Kyuseong Choi, Anish Agarwal +1

We study the problem of distributional matrix completion: Given a sparsely observed matrix of empirical distributions, we seek to impute the true distributions associated with both…