Author of the publication

Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification.

, , , and . NeurIPS, (2020)

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

The role of regularization in classification of high-dimensional noisy Gaussian mixture, , , and . (2020)cite arxiv:2002.11544Comment: 8 pages + appendix, 6 figures.Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers., , , and . CoRR, (2024)Optimal Protocols for Continual Learning via Statistical Physics and Control Theory., , and . CoRR, (2024)Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification., , , and . NeurIPS, (2020)Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem., , and . Mach. Learn. Sci. Technol., 2 (3): 35029 (September 2021)The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 6874-6883. PMLR, (2020)Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization., , , , , , and . CoRR, (2023)Rigorous Dynamical Mean-Field Theory for Stochastic Gradient Descent Methods., , , , and . SIAM J. Math. Data Sci., 6 (2): 400-427 (2024)Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization., , , , , , and . ICLR, OpenReview.net, (2024)