Aleksandr Podkopaev
Aleksandr Podkopaev

Senior Data Scientist

I am a Senior Data Scientist at Walmart Global Tech (Advertising Technology). 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.
(2021). Distribution-free uncertainty quantification for classification under label shift. In UAI 2021 (Long oral talk).