Aleksandr Podkopaev

According to our database, Aleksandr Podkopaev authored at least 9 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Dependence-Aware Label Aggregation for LLM-as-a-Judge via Ising Models.

Krishnakumar Balasubramanian, Aleksandr Podkopaev, Shiva Prasad Kasiviswanathan

CoRR, January, 2026

2025

Optimal Transportation and Alignment Between Gaussian Measures.

Sanjit Dandapanthula, Aleksandr Podkopaev, Shiva Prasad Kasiviswanathan, Aaditya Ramdas, Ziv Goldfeld

CoRR, December, 2025

2024

Adaptive Conformal Inference by Betting.

Aleksandr Podkopaev, Darren Xu, Kuang-Chih Lee

CoRR, 2024

Adaptive Conformal Inference by Betting.

Aleksandr Podkopaev, Dong Xu, Kuang-chih Lee

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Sequential Predictive Two-Sample and Independence Testing.

Aleksandr Podkopaev, Aaditya Ramdas

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sequential Kernelized Independence Testing.

Aleksandr Podkopaev, Patrick Blöbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas

Proceedings of the International Conference on Machine Learning, 2023

2022

Tracking the risk of a deployed model and detecting harmful distribution shifts.

Aleksandr Podkopaev, Aaditya Ramdas

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Distribution-free uncertainty quantification for classification under label shift.

Aleksandr Podkopaev, Aaditya Ramdas

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

Distribution-free binary classification: prediction sets, confidence intervals and calibration.

Chirag Gupta, Aleksandr Podkopaev, Aaditya Ramdas

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020