Research

Publications and manuscripts

K. Du, Y. Nair, and L. Janson. Bernstein-von Mises for Adaptively Collected Data. Conference on Neural Information Processing Systems, San Diego, CA, December 2025. [arXiv]

Y. Gui*, Y. Jin*, Y. Nair*, and Z. Ren*. ACS: An interactive framework for conformal selection. 2025. [arXiv] [code]

Y. Nair, Y. Jin, J. Yang, and E. Candès. Diversifying conformal selections. 2025. [arXiv] [code]

N. Boehmer*, Y. Nair*, S. Shah*, L. Janson, A. Taneja, and M. Tambe. Evaluating the effectiveness of index-based treatment allocation. AAAI Conference on Artificial Intelligence: Artificial Intelligence for Social Impact Track (Oral), Philadelphia, Pennsylvania, February 2025. [arXiv]

Y. Nair and L. Janson. Randomization tests for adaptively collected data. 2023. [arXiv] [code]

Y. Nair and N. Jiang. A spectral approach to off-policy evaluation for POMDPs. Workshop on Theoretical Foundations of Reinforcement Learning (ICML), 2021. [arXiv]

Y. Nair and F. Doshi-Velez. PAC bounds for imitation and model-based batch learning of contextual Markov decision processes. Workshop on Theoretical Foundations of Reinforcement Learning (ICML), 2020. [arXiv]

(* denotes equal contribution or alphabetical ordering)