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Papers
Testing Noise Assumptions of Learning Algorithms
COLT 2026
An Efficient Tester-Learner for Halfspaces
ICLR 2024
Efficient Discrepancy Testing for Learning with Distribution Shift
NeurIPS 2024
Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds
COLT 2024
Testable Learning of General Halfspaces with Adversarial Label Noise
COLT 2024
Testable Learning with Distribution Shift
COLT 2024
Testably Learning Polynomial Threshold Functions
NeurIPS 2024
Efficient Testable Learning of Halfspaces with Adversarial Label Noise
NeurIPS 2023
Tester-Learners for Halfspaces: Universal Algorithms
NeurIPS 2023