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Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability.

, , and . ICLR, OpenReview.net, (2023)

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Few-Shot Learning via Learning the Representation, Provably., , , , and . CoRR, (2020)Learning Hierarchical Polynomials with Three-Layer Neural Networks., , and . CoRR, (2023)Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence., , , , , and . CoRR, (2021)A distributed concurrent on-line test scheduling protocol for many-core NoC-based systems., , and . ICCD, page 179-185. IEEE Computer Society, (2009)Beyond Linearization: On Quadratic and Higher-Order Approximation of Wide Neural Networks., and . ICLR, OpenReview.net, (2020)A Safety Analysis Framework for COTS Microprocessors in Safety-Critical Applications., , and . HASE, page 407-408. IEEE Computer Society, (2007)Offline Reinforcement Learning with Realizability and Single-policy Concentrability., , , , and . COLT, volume 178 of Proceedings of Machine Learning Research, page 2730-2775. PMLR, (2022)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)Agnostic $Q$-learning with Function Approximation in Deterministic Systems: Near-Optimal Bounds on Approximation Error and Sample Complexity., , , and . NeurIPS, (2020)