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Neural tangent kernels, transportation mappings, and universal approximation.

, , and . ICLR, OpenReview.net, (2020)

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Early-stopped neural networks are consistent., , and . NeurIPS, page 1805-1817. (2021)The implicit bias of gradient descent on nonseparable data., and . COLT, volume 99 of Proceedings of Machine Learning Research, page 1772-1798. PMLR, (2019)Actor-critic is implicitly biased towards high entropy optimal policies., , and . ICLR, OpenReview.net, (2022)Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis., , and . COLT, volume 65 of Proceedings of Machine Learning Research, page 1674-1703. PMLR, (2017)Neural Networks and Rational Functions.. ICML, volume 70 of Proceedings of Machine Learning Research, page 3387-3393. PMLR, (2017)Polylogarithmic width suffices for gradient descent to achieve arbitrarily small test error with shallow ReLU networks., and . ICLR, OpenReview.net, (2020)Gradient descent aligns the layers of deep linear networks., and . CoRR, (2018)Convex Risk Minimization and Conditional Probability Estimation., and . COLT, volume 40 of JMLR Workshop and Conference Proceedings, page 1629-1682. JMLR.org, (2015)Feature selection with gradient descent on two-layer networks in low-rotation regimes.. CoRR, (2022)A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization., , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1071-1080. PMLR, (2019)