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Online stochastic gradient descent on non-convex losses from high-dimensional inference.

, , and . J. Mach. Learn. Res., (2021)

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Online stochastic gradient descent on non-convex losses from high-dimensional inference., , and . J. Mach. Learn. Res., (2021)A classification for the performance of online SGD for high-dimensional inference., , and . CoRR, (2020)Free Energy Wells and Overlap Gap Property in Sparse PCA., , and . COLT, volume 125 of Proceedings of Machine Learning Research, page 479-482. PMLR, (2020)High-dimensional SGD aligns with emerging outlier eigenspaces., , , and . CoRR, (2023)Open Problem: The landscape of the loss surfaces of multilayer networks., , and . COLT, volume 40 of JMLR Workshop and Conference Proceedings, page 1756-1760. JMLR.org, (2015)The Loss Surfaces of Multilayer Networks., , , , and . AISTATS, volume 38 of JMLR Workshop and Conference Proceedings, JMLR.org, (2015)Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices, , and . Ann. Probab., 33 (5): 1643--1697 (2005)Comparing Dynamics: Deep Neural Networks versus Glassy Systems., , , , , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 324-333. PMLR, (2018)Landscape Complexity for the Empirical Risk of Generalized Linear Models., , and . MSML, volume 107 of Proceedings of Machine Learning Research, page 287-327. PMLR, (2020)High-dimensional SGD aligns with emerging outlier eigenspaces., , , and . ICLR, OpenReview.net, (2024)