agnostic learning

Learning depth-3 circuits via quantum agnostic boosting COLT 2026 On Randomized Algorithms in Online Strategic Classification COLT 2026 Is Transductive Learning Equivalent to PAC Learning? ALT 2025 Active Classification with Few Queries under Misspecification NeurIPS 2024 Agnostic Active Learning of Single Index Models with Linear Sample Complexity COLT 2024 Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms ICML 2024 Agnostic Membership Query Learning with Nontrivial Savings: New Results and Techniques ALT 2024 An Efficient Tester-Learner for Halfspaces ICLR 2024 A Theory of Optimistically Universal Online Learnability for General Concept Classes NeurIPS 2024 Efficient Quantum Agnostic Improper Learning of Decision Trees AISTATS 2024 Fast Rates for Bandit PAC Multiclass Classification NeurIPS 2024 Multiclass Transductive Online Learning NeurIPS 2024 On Computationally Efficient Multi-Class Calibration COLT 2024 Reliable Learning of Halfspaces under Gaussian Marginals NeurIPS 2024 Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models NeurIPS 2024 Sample-Efficient Agnostic Boosting NeurIPS 2024 Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension COLT 2024 Testably Learning Polynomial Threshold Functions NeurIPS 2024 A Competitive Algorithm for Agnostic Active Learning NeurIPS 2023 Active Learning for Single Neuron Models with Lipschitz Non-Linearities AISTATS 2023 Agnostically Learning Single-Index Models using Omnipredictors NeurIPS 2023 Agnostic Learning of General ReLU Activation Using Gradient Descent ICLR 2023 Agnostic PAC Learning of k-juntas Using L_2-Polynomial Regression AISTATS 2023 Hardness of Agnostically Learning Halfspaces from Worst-Case Lattice Problems COLT 2023 List Online Classification COLT 2023