Aleksandr Podkopaev
Senior Applied Scientist
I am a Senior Applied Scientist at Amazon Web Services (CloudWatch). I earned my PhD in Statistics and Machine Learning at Carnegie Mellon University, where I had been fortunate to be advised by Professor Aaditya Ramdas. Prior to CMU, I got my BSc and MSc degrees at Moscow Institute of Physics and Technology and Skoltech.
Recent Publications
(2024).
Adaptive conformal inference by betting.
In ICML 2024.
(2023).
Sequential predictive two-sample and independence testing.
In NeurIPS 2023.
(2023).
Sequential kernelized independence testing.
In ICML 2023.
(2022).
Tracking the risk of a deployed model and detecting harmful distribution shifts.
In ICLR 2022.
(2021).
Distribution-free uncertainty quantification for classification under label shift.
In UAI 2021 (Long oral talk).