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Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel.

, , , and . NeurIPS, page 9709-9721. (2019)

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Optimal Sample Complexity Bounds for Non-convex Optimization under Kurdyka-Lojasiewicz Condition., , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 6806-6821. PMLR, (2023)Efficient displacement convex optimization with particle gradient descent., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 6836-6854. PMLR, (2023)SGD Learns One-Layer Networks in WGANs., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 5799-5808. PMLR, (2020)Few-Shot Learning via Learning the Representation, Provably., , , , and . ICLR, OpenReview.net, (2021)Provably Correct Automatic Sub-Differentiation for Qualified Programs., and . NeurIPS, page 7125-7135. (2018)Optimal Gradient-based Algorithms for Non-concave Bandit Optimization., , , , , , and . NeurIPS, page 29101-29115. (2021)Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy., , , , , and . NeurIPS, (2020)Generalized Leverage Score Sampling for Neural Networks., , , , and . NeurIPS, (2020)How Fine-Tuning Allows for Effective Meta-Learning., , and . NeurIPS, page 8871-8884. (2021)Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot., , , , , , and . NeurIPS, (2020)