Author of the publication

Hausdorff Dimension, Stochastic Differential Equations, and Generalization in Neural Networks

, , , and . (2020)cite arxiv:2006.09313Comment: 34 Pages.

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Generalization of Two-layer Neural Networks: An Asymptotic Viewpoint., , , , and . ICLR, OpenReview.net, (2020)Neural Networks Efficiently Learn Low-Dimensional Representations with SGD., , , , and . CoRR, (2022)Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings., , and . AAAI, page 9066-9073. AAAI Press, (2022)An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias., , , and . NeurIPS, page 4234-4248. (2021)Estimating LASSO Risk and Noise Level., , and . NIPS, page 944-952. (2013)On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method., , and . NeurIPS, (2020)Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance., , , , and . COLT, volume 178 of Proceedings of Machine Learning Research, page 65-102. PMLR, (2022)Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity Guarantees for Langevin Monte Carlo., , , , and . COLT, volume 178 of Proceedings of Machine Learning Research, page 2896-2923. PMLR, (2022)Generalization Bounds for Stochastic Gradient Descent via Localized ε-Covers., , and . CoRR, (2022)Privacy-utility trade-off under continual observation., and . ISIT, page 1801-1805. IEEE, (2015)