Importance Sampling for Minibatches

6 February 2016

Papers citing "Importance Sampling for Minibatches"

11 / 11 papers shown

Title
A Negative Result on Gradient Matching for Selective Backprop Lukas Balles Cédric Archambeau Giovanni Zappella 16 0 0 08 Dec 2023
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling Jianxin Wei Ergute Bao X. Xiao Y. Yang 29 20 0 18 Oct 2022
Tricks and Plugins to GBM on Images and Sequences Biyi Fang J. Utke Diego Klabjan 17 0 0 01 Mar 2022
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback Boxin Zhao Lingxiao Wang Mladen Kolar Ziqi Liu Zhiqiang Zhang Jun Zhou Chaochao Chen FedML 16 9 0 28 Dec 2021
Adaptive Importance Sampling meets Mirror Descent: a Bias-variance tradeoff Anna Korba Franccois Portier 14 12 0 29 Oct 2021
Sampling and Update Frequencies in Proximal Variance-Reduced Stochastic Gradient Methods Martin Morin Pontus Giselsson 12 4 0 13 Feb 2020
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 25 681 0 15 Nov 2017
Coupling Adaptive Batch Sizes with Learning Rates Lukas Balles Javier Romero Philipp Hennig ODL 11 109 0 15 Dec 2016
Big Batch SGD: Automated Inference using Adaptive Batch Sizes Soham De A. Yadav David Jacobs Tom Goldstein ODL 6 62 0 18 Oct 2016
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 76 736 0 19 Mar 2014
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning Julien Mairal 60 317 0 18 Feb 2014