Exponential convergence of testing error for stochastic gradient methods

13 December 2017

Papers citing "Exponential convergence of testing error for stochastic gradient methods"

7 / 7 papers shown

Title
Active Labeling: Streaming Stochastic Gradients Vivien A. Cabannes Francis R. Bach Vianney Perchet Alessandro Rudi 66 2 0 26 May 2022
On the Benefits of Large Learning Rates for Kernel Methods Gaspard Beugnot Julien Mairal Alessandro Rudi 32 11 0 28 Feb 2022
Multiclass learning with margin: exponential rates with no bias-variance trade-off Stefano Vigogna Giacomo Meanti Ernesto De Vito Lorenzo Rosasco 20 2 0 03 Feb 2022
A Theory of Universal Learning Olivier Bousquet Steve Hanneke Shay Moran Ramon van Handel Amir Yehudayoff 26 53 0 09 Nov 2020
Weak error analysis for stochastic gradient descent optimization algorithms A. Bercher Lukas Gonon Arnulf Jentzen Diyora Salimova 36 4 0 03 Jul 2020
Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss Lénaïc Chizat Francis R. Bach MLT 39 329 0 11 Feb 2020
Convergence rates for the stochastic gradient descent method for non-convex objective functions Benjamin J. Fehrman Benjamin Gess Arnulf Jentzen 21 101 0 02 Apr 2019