Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning. - Susan Athey; Undral Byambadalai; Vitor Hadad; Sanath Kumar Krishnamurthy; Weiwen Leung; Joseph Jay Williams (CoRR, 2022)

Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction. - Undral Byambadalai; Tatsushi Oka; Shota Yasui (ICML, 2024)

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks. - Tomu Hirata; Undral Byambadalai; Tatsushi Oka; Shota Yasui; Shingo Uto (CoRR, 2025)