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Papers
When and How Often is Weighted Majority Vote Optimal Under Log Loss?
UAI 2026
Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift
AISTATS 2025
Stability and List-Replicability for Agnostic Learners
COLT 2025
The Role of Randomness in Stability
ICML 2025
A Universal Growth Rate for Learning with Smooth Surrogate Losses
NeurIPS 2024
Near-Optimal Statistical Query Lower Bounds for Agnostically Learning Intersections of Halfspaces with Gaussian Marginals
COLT 2022
Robust Learning under Strong Noise via SQs
AISTATS 2021
Privately Answering Classification Queries in the Agnostic PAC Model
ALT 2020