Sorrell, Jessica

8 publications

TMLR 2026 The Cost of Replicability in Active Learning Rupkatha Hira, Dominik Kau, Jessica Sorrell

ICML 2025 Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces Eric Eaton, Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Bela Sengupta, Jessica Sorrell

NeurIPS 2024 Oracle-Efficient Reinforcement Learning for Max Value Ensembles Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Bela Sengupta, Jessica Sorrell

ICMLW 2024 Oracle-Efficient Reinforcement Learning for Max Value Ensembles Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Bela Sengupta, Jessica Sorrell

ICML 2023 Multicalibration as Boosting for Regression Ira Globus-Harris, Declan Harrison, Michael Kearns, Aaron Roth, Jessica Sorrell

NeurIPS 2023 Replicable Reinforcement Learning Eric Eaton, Marcel Hussing, Michael J. Kearns, Jessica Sorrell

COLT 2021 Boosting in the Presence of Massart Noise Ilias Diakonikolas, Russell Impagliazzo, Daniel M. Kane, Rex Lei, Jessica Sorrell, Christos Tzamos

COLT 2020 Efficient, Noise-Tolerant, and Private Learning via Boosting Mark Bun, Marco Leandro Carmosino, Jessica Sorrell