Reliable Learning of Halfspaces under Gaussian MarginalsNeural Information Processing Systems (NeurIPS), 2024 |
 Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex
Optimization ApproachInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 Self-Directed Linear ClassificationAnnual Conference Computational Learning Theory (COLT), 2023 |
 Near-Optimal Bounds for Learning Gaussian Halfspaces with Random
Classification NoiseNeural Information Processing Systems (NeurIPS), 2023 |
 Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold
Functions with Nasty NoiseInternational Conference on Machine Learning (ICML), 2023 |
 Tester-Learners for Halfspaces: Universal AlgorithmsNeural Information Processing Systems (NeurIPS), 2023 |
 An Efficient Tester-Learner for HalfspacesInternational Conference on Learning Representations (ICLR), 2023 |
 Improved Algorithms for Neural Active LearningNeural Information Processing Systems (NeurIPS), 2022 |
 List-Decodable Sparse Mean EstimationNeural Information Processing Systems (NeurIPS), 2022 |
 Agnostic Learnability of Halfspaces via Logistic LossInternational Conference on Machine Learning (ICML), 2022 |
 ReLU Regression with Massart NoiseNeural Information Processing Systems (NeurIPS), 2021 |
 Boosting in the Presence of Massart NoiseAnnual Conference Computational Learning Theory (COLT), 2021 |
 Semi-verified PAC Learning from the CrowdInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 |
 AdaBoost and robust one-bit compressed sensingMathematical Statistics and Learning (MSL), 2021 |
 Feedback Coding for Active LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 |
 Sample-Optimal PAC Learning of Halfspaces with Malicious NoiseInternational Conference on Machine Learning (ICML), 2021 |
 Improved Algorithms for Efficient Active Learning Halfspaces with
Massart and Tsybakov noiseAnnual Conference Computational Learning Theory (COLT), 2021 |
 On the Power of Localized Perceptron for Label-Optimal Learning of
Halfspaces with Adversarial NoiseInternational Conference on Machine Learning (ICML), 2020 |
 Near-Optimal Statistical Query Hardness of Learning Halfspaces with
Massart NoiseAnnual Conference Computational Learning Theory (COLT), 2020 |
 Efficient PAC Learning from the Crowd with Pairwise ComparisonsInternational Conference on Machine Learning (ICML), 2020 |
 Robust Learning under Strong Noise via SQsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 |
 One-Bit Compressed Sensing via One-Shot Hard ThresholdingConference on Uncertainty in Artificial Intelligence (UAI), 2020 |
