Aleksandr Podkopaev

14 papers A* 5A 1Journal 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dependence-Aware Label Aggregation for LLM-as-a-Judge via Ising Models.
CoRR
Krishnakumar Balasubramanian, Aleksandr Podkopaev, Shiva Prasad Kasiviswanathan
2025 J jnl
Optimal Transportation and Alignment Between Gaussian Measures.
CoRR
Sanjit Dandapanthula, Aleksandr Podkopaev, Shiva Prasad Kasiviswanathan, Aaditya Ramdas, Ziv Goldfeld
2024 A* conf
Adaptive Conformal Inference by Betting.
ICML
Aleksandr Podkopaev, Dong Xu, Kuang-Chih Lee
2024 J jnl
Adaptive Conformal Inference by Betting.
CoRR
Aleksandr Podkopaev, Darren Xu, Kuang-Chih Lee
2023 A* conf
Sequential Kernelized Independence Testing.
ICML
Aleksandr Podkopaev, Patrick Blöbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas
2023 A* conf
Sequential Predictive Two-Sample and Independence Testing.
NeurIPS
Aleksandr Podkopaev, Aaditya Ramdas
2023 J jnl
Sequential Predictive Two-Sample and Independence Testing.
CoRR
Aleksandr Podkopaev, Aaditya Ramdas
2022 J jnl
Sequential Kernelized Independence Testing.
CoRR
Aleksandr Podkopaev, Patrick Blöbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas
2022 A* conf
Tracking the risk of a deployed model and detecting harmful distribution shifts.
ICLR
Aleksandr Podkopaev, Aaditya Ramdas
2021 A conf
Distribution-free uncertainty quantification for classification under label shift.
UAI
Aleksandr Podkopaev, Aaditya Ramdas
2021 J jnl
Distribution-free uncertainty quantification for classification under label shift.
CoRR
Aleksandr Podkopaev, Aaditya Ramdas
2021 J jnl
Tracking the risk of a deployed model and detecting harmful distribution shifts.
CoRR
Aleksandr Podkopaev, Aaditya Ramdas
2020 A* conf
Distribution-free binary classification: prediction sets, confidence intervals and calibration.
NeurIPS
Chirag Gupta, Aleksandr Podkopaev, Aaditya Ramdas
2020 J jnl
Distribution-free binary classification: prediction sets, confidence intervals and calibration.
CoRR
Chirag Gupta, Aleksandr Podkopaev, Aaditya Ramdas