Co-occurring keywords · papers mentioning both
Papers
Testing Noise Assumptions of Learning Algorithms
COLT 2026
Agnostic Learning of Arbitrary ReLU Activation under Gaussian Marginals
COLT 2025
Reliable Learning of Halfspaces under Gaussian Marginals
NeurIPS 2024
Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise
ICML 2023
Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals
ICML 2023
Differentially Private Regression with Unbounded Covariates
AISTATS 2022
Algorithms and SQ Lower Bounds for PAC Learning One-Hidden-Layer ReLU Networks
COLT 2020