| Distribution-free binary classification: prediction sets, confidence intervals and calibration C Gupta, A Podkopaev, A Ramdas Advances in Neural Information Processing Systems 33, 3711-3723, 2020 | 75 | 2020 |
| Distribution-free uncertainty quantification for classification under label shift A Podkopaev, A Ramdas Uncertainty in artificial intelligence, 844-853, 2021 | 74 | 2021 |
| Tracking the risk of a deployed model and detecting harmful distribution shifts A Podkopaev, A Ramdas International Conference on Learning Representations, 2021 | 22 | 2021 |
| Sequential kernelized independence testing A Podkopaev, P Blöbaum, S Kasiviswanathan, A Ramdas International Conference on Machine Learning, 27957-27993, 2023 | 15 | 2023 |
| Sequential Predictive Two-Sample and Independence Testing A Podkopaev, A Ramdas Advances in Neural Information Processing Systems, 2023 | 7 | 2023 |
| Adaptive Conformal Inference by Betting A Podkopaev, D Xu, K Lee International Conference on Machine Learning, 2024 | | 2024 |
| Uncertainty Quantification under Distribution Shifts A Podkopaev Carnegie Mellon University, 0 | | |
