agnostic learning

Multicalibration as Boosting for Regression ICML 2023 Multiclass Online Learning and Uniform Convergence COLT 2023 Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals ICML 2023 Shortest Program Interpolation Learning COLT 2023 When is Agnostic Reinforcement Learning Statistically Tractable? NeurIPS 2023 Agnostic Learnability of Halfspaces via Logistic Loss ICML 2022 An Agnostic Approach to Federated Learning with Class Imbalance ICLR 2022 Learning with metric losses COLT 2022 Near-Optimal Statistical Query Lower Bounds for Agnostically Learning Intersections of Halfspaces with Gaussian Marginals COLT 2022 On Learning and Refutation in Noninteractive Local Differential Privacy NeurIPS 2022 Online Agnostic Multiclass Boosting NeurIPS 2022 Realizable Learning is All You Need COLT 2022 Robustly-reliable learners under poisoning attacks COLT 2022 Simple and near-optimal algorithms for hidden stratification and multi-group learning ICML 2022 Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins ICML 2021 Agnostic Proper Learning of Halfspaces under Gaussian Marginals COLT 2021 Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations NeurIPS 2021 Exponential savings in agnostic active learning through abstention COLT 2021 Multiclass Boosting and the Cost of Weak Learning NeurIPS 2021 Multi-group Agnostic PAC Learnability ICML 2021 The Optimality of Polynomial Regression for Agnostic Learning under Gaussian Marginals in the SQ Model COLT 2021 A General Method for Robust Learning from Batches NeurIPS 2020 Agnostic Learning of a Single Neuron with Gradient Descent NeurIPS 2020 Near-Optimal SQ Lower Bounds for Agnostically Learning Halfspaces and ReLUs under Gaussian Marginals NeurIPS 2020 Online Agnostic Boosting via Regret Minimization NeurIPS 2020