Publications

Aleksandr Podkopaev, Darren Xu, Kuang-Chih Lee (2024). Adaptive conformal inference by betting. In ICML 2024.

Aleksandr Podkopaev, Aaditya Ramdas (2023). Sequential predictive two-sample and independence testing. In NeurIPS 2023.

Aleksandr Podkopaev, Patrick Bloebaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas (2023). Sequential kernelized independence testing. In ICML 2023.

Aleksandr Podkopaev, Aaditya Ramdas (2022). Tracking the risk of a deployed model and detecting harmful distribution shifts. In ICLR 2022.

Aleksandr Podkopaev, Aaditya Ramdas (2021). Distribution-free uncertainty quantification for classification under label shift. In UAI 2021 (Long oral talk).

Chirag Gupta, Aleksandr Podkopaev, Aaditya Ramdas (2020). Distribution-free binary classification: prediction sets, confidence intervals and calibration. In NeurIPS 2020 (Spotlight).