Verma, Rajeev

6 publications

ICLR 2026 Boosting for Predictive Sufficiency Abbavaram Gowtham Reddy, Rajeev Verma, Celia Rubio-Madrigal, Krikamol Muandet, Rebekka Burkholz

UAI 2025 On Continuous Monitoring of Risk Violations Under Unknown Shift Alexander Timans, Rajeev Verma, Eric Nalisnick, Christian A. Naesseth

AISTATS 2024 Learning to Defer to a Population: A Meta-Learning Approach Dharmesh Tailor, Aditya Patra, Rajeev Verma, Putra Manggala, Eric Nalisnick

ICMLW 2024 On the Calibration of Conditional-Value-at-Risk Rajeev Verma, Volker Fischer, Eric Nalisnick

AISTATS 2023 Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles Rajeev Verma, Daniel Barrejon, Eric Nalisnick

ICML 2022 Calibrated Learning to Defer with One-vs-All Classifiers Rajeev Verma, Eric Nalisnick