Online Variance Reduction for Stochastic Optimization

v1v2v3 (latest)

Online Variance Reduction for Stochastic Optimization

13 February 2018

ArXiv (abs)PDF HTML

Papers citing "Online Variance Reduction for Stochastic Optimization"

9 / 9 papers shown

Title
Understanding the Training Speedup from Sampling with Approximate Losses Rudrajit Das Xi Chen Bertram Ieong Parikshit Bansal Sujay Sanghavi 51 2 0 10 Feb 2024
Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm Boxin Zhao Boxiang Lyu Raul Castro Fernandez Mladen Kolar 81 7 0 05 Jun 2023
Generalizing Gaussian Smoothing for Random Search Katelyn Gao Ozan Sener 80 14 0 27 Nov 2022
L-SVRG and L-Katyusha with Adaptive Sampling Boxin Zhao Boxiang Lyu Mladen Kolar 77 3 0 31 Jan 2022
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback Boxin Zhao Lingxiao Wang Mladen Kolar Ziqi Liu Qing Cui Jun Zhou Chaochao Chen FedML 152 11 0 28 Dec 2021
Sequential Estimation under Multiple Resources: a Bandit Point of View Alireza Masoumian Shayan Kiyani Mohammad Hossein Yassaee 56 1 0 29 Sep 2021
Stochastic batch size for adaptive regularization in deep network optimization Kensuke Nakamura Stefano Soatto Byung-Woo Hong ODL 49 6 0 14 Apr 2020
Online Variance Reduction with Mixtures Zalan Borsos Sebastian Curi Kfir Y. Levy Andreas Krause 43 14 0 29 Mar 2019
A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates Kaiwen Zhou Fanhua Shang James Cheng 91 75 0 28 Jun 2018