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Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins., , and . CoRR, (2020)Random Feature Amplification: Feature Learning and Generalization in Neural Networks., , and . CoRR, (2022)The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks., , , and . CoRR, (2023)Self-training Converts Weak Learners to Strong Learners in Mixture Models., , , and . CoRR, (2021)Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks., , and . NeurIPS, page 14769-14779. (2019)Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent., and . NeurIPS, page 7937-7949. (2021)Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data., , , , and . ICLR, OpenReview.net, (2023)Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 3417-3426. PMLR, (2021)Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data., , and . COLT, volume 178 of Proceedings of Machine Learning Research, page 2668-2703. PMLR, (2022)Agnostic Learning of a Single Neuron with Gradient Descent., , and . NeurIPS, (2020)