Hopkins, Max

8 publications

ALT 2025 Do PAC-Learners Learn the Marginal Distribution? Max Hopkins, Daniel Kane, Shachar Lovett, Gaurav Mahajan

ICML 2025 The Role of Randomness in Stability Max Hopkins, Shay Moran

ALT 2023 Robust Empirical Risk Minimization with Tolerance Robi Bhattacharjee, Max Hopkins, Akash Kumar, Hantao Yu, Kamalika Chaudhuri

NeurIPS 2022 Active Learning Polynomial Threshold Functions Omri Ben-Eliezer, Max Hopkins, Chutong Yang, Hantao Yu

COLT 2022 Realizable Learning Is All You Need Max Hopkins, Daniel M. Kane, Shachar Lovett, Gaurav Mahajan

COLT 2021 Bounded Memory Active Learning Through Enriched Queries Max Hopkins, Daniel Kane, Shachar Lovett, Michal Moshkovitz

COLT 2020 Noise-Tolerant, Reliable Active Classification with Comparison Queries Max Hopkins, Daniel Kane, Shachar Lovett, Gaurav Mahajan

NeurIPS 2020 The Power of Comparisons for Actively Learning Linear Classifiers Max Hopkins, Daniel Kane, Shachar Lovett