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stat.ME2026
A Test for Treatment Heterogeneity under a Distributional Difference-in-Difference Framework
Satarupa Bhattacharjee, Bing Li, Lingzhou Xue
We develop a novel distributional Difference-in-Differences (DiD) framework to capture treatment heterogeneity across outcome distributions. By leveraging optimal transport, we use…
stat.ML2026
Kernel Single-Index Bandits: Estimation, Inference, and Learning
Sakshi Arya, Satarupa Bhattacharjee, Bharath K. Sriperumbudur
We study contextual bandits with finitely many actions in which the reward of each arm follows a single-index model with an arm-specific index parameter and an unknown nonparametri…