Randomized Smoothing for Stochastic Optimization

22 March 2011

Papers citing "Randomized Smoothing for Stochastic Optimization"

7 / 7 papers shown

Title
Demystifying SGD with Doubly Stochastic Gradients Kyurae Kim Joohwan Ko Yian Ma Jacob R. Gardner 79 1 0 03 Jun 2024
Deterministic Nonsmooth Nonconvex Optimization Michael I. Jordan Guy Kornowski Tianyi Lin Ohad Shamir Manolis Zampetakis 80 26 0 16 Feb 2023
Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization Mathieu Even Laurent Massoulié 41 14 0 04 Feb 2021
Extrapolation for Large-batch Training in Deep Learning Tao R. Lin Lingjing Kong Sebastian U. Stich Martin Jaggi 60 36 0 10 Jun 2020
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 241 683 0 07 Dec 2010
Estimation of (near) low-rank matrices with noise and high-dimensional scaling S. Negahban Martin J. Wainwright 175 569 0 27 Dec 2009
Solving variational inequalities with Stochastic Mirror-Prox algorithm A. Juditsky A. Nemirovskii Claire Tauvel 106 441 0 04 Sep 2008