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

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

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

Sequential Kernelized Independence Testing. - Aleksandr Podkopaev; Patrick Blöbaum; Shiva Prasad Kasiviswanathan; Aaditya Ramdas (ICML, 2023)

Sequential Predictive Two-Sample and Independence Testing. - Aleksandr Podkopaev; Aaditya Ramdas (NeurIPS, 2023)

Adaptive Conformal Inference by Betting. - Aleksandr Podkopaev; Dong Xu; Kuang-chih Lee (ICML, 2024)

Adaptive Conformal Inference by Betting. - Aleksandr Podkopaev; Darren Xu; Kuang-Chih Lee (CoRR, 2024)