Conditional Central Limit Theorems for Gaussian Projections

29 December 2016

Papers citing "Conditional Central Limit Theorems for Gaussian Projections"

6 / 6 papers shown

Title
Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime Francesco Camilli D. Tieplova Eleonora Bergamin Jean Barbier 135 0 0 06 May 2025
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances Sloan Nietert Ritwik Sadhu Ziv Goldfeld Kengo Kato 38 37 0 17 Oct 2022
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections Kimia Nadjahi Alain Durmus Pierre E. Jacob Roland Badeau Umut Simsekli 23 37 0 29 Jun 2021
The Gaussian equivalence of generative models for learning with shallow neural networks Sebastian Goldt Bruno Loureiro Galen Reeves Florent Krzakala M. Mézard Lenka Zdeborová BDL 41 100 0 25 Jun 2020
Understanding Phase Transitions via Mutual Information and MMSE Galen Reeves H. Pfister 14 7 0 03 Jul 2019
The All-or-Nothing Phenomenon in Sparse Linear Regression Galen Reeves Jiaming Xu Ilias Zadik 10 43 0 12 Mar 2019