Online Learning to Sample

Online Learning to Sample

30 June 2015

Guillaume Bouchard

Théo Trouillon

Adrien Gaidon

Papers citing "Online Learning to Sample"

10 / 10 papers shown

Title
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits Subhojyoti Mukherjee Qiaomin Xie Josiah P. Hanna R. Nowak OffRL 53 5 0 29 Jan 2023
ReVar: Strengthening Policy Evaluation via Reduced Variance Sampling Subhojyoti Mukherjee Josiah P. Hanna Robert D. Nowak OffRL 29 12 0 09 Mar 2022
Dynamic Gradient Aggregation for Federated Domain Adaptation Dimitrios Dimitriadis K. Kumatani R. Gmyr Yashesh Gaur Sefik Emre Eskimez FedML 26 5 0 14 Jun 2021
Federated Transfer Learning with Dynamic Gradient Aggregation Dimitrios Dimitriadis K. Kumatani R. Gmyr Yashesh Gaur Sefik Emre Eskimez FedML 24 15 0 06 Aug 2020
Adaptive Sampling Distributed Stochastic Variance Reduced Gradient for Heterogeneous Distributed Datasets Ilqar Ramazanli Han Nguyen Hai Pham Sashank J. Reddi Barnabás Póczós 23 11 0 20 Feb 2020
Variational Inference via $χ$ -Upper Bound Minimization Adji Bousso Dieng Dustin Tran Rajesh Ranganath John Paisley David M. Blei BDL 81 36 0 01 Nov 2016
Big Batch SGD: Automated Inference using Adaptive Batch Sizes Soham De A. Yadav David Jacobs Tom Goldstein ODL 37 62 0 18 Oct 2016
Trading-off variance and complexity in stochastic gradient descent Vatsal Shah Megasthenis Asteris Anastasios Kyrillidis Sujay Sanghavi 25 13 0 22 Mar 2016
Overdispersed Black-Box Variational Inference Francisco J. R. Ruiz Michalis K. Titsias David M. Blei 22 47 0 03 Mar 2016
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 104 571 0 08 Dec 2012