Block stochastic gradient iteration for convex and nonconvex optimization

12 August 2014

Papers citing "Block stochastic gradient iteration for convex and nonconvex optimization"

20 / 20 papers shown

Title
Solving Finite-Horizon MDPs via Low-Rank Tensors Sergio Rozada Jose Luis Orejuela Antonio G. Marques 44 0 0 17 Jan 2025
Bayesian Federated Model Compression for Communication and Computation Efficiency Cheng-Gang Xia Danny H. K. Tsang Vincent K. N. Lau 39 0 0 11 Apr 2024
Online Learning Under A Separable Stochastic Approximation Framework Min Gan Xiang-Xiang Su Guang-yong Chen Jing Chen 28 0 0 12 May 2023
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization Xu Cai Chaobing Song Stephen J. Wright Jelena Diakonikolas 46 14 0 09 Dec 2022
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning Yifei Ren Jian Lou Li Xiong Joyce C. Ho Xiaoqian Jiang Sivasubramanium Bhavan OOD 38 3 0 01 Aug 2022
Federated Semi-Supervised Learning with Class Distribution Mismatch Zhiguo Wang Xintong Wang Ruoyu Sun Tsung-Hui Chang FedML 39 12 0 29 Oct 2021
Stochastic Block-ADMM for Training Deep Networks Saeed Khorram Xiao Fu Mohamad H. Danesh Zhongang Qi Li Fuxin 37 3 0 01 May 2021
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems Jiawei Zhang Peijun Xiao Ruoyu Sun Zhi-Quan Luo 37 97 0 29 Oct 2020
Momentum-based variance-reduced proximal stochastic gradient method for composite nonconvex stochastic optimization Yangyang Xu Yibo Xu 35 23 0 31 May 2020
Nonlinear System Identification via Tensor Completion Nikos Kargas N. Sidiropoulos 27 14 0 13 Jun 2019
Stochastic model-based minimization of weakly convex functions Damek Davis Dmitriy Drusvyatskiy 35 371 0 17 Mar 2018
Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization Rui Zhu Di Niu Zongpeng Li 16 4 0 24 Feb 2018
$Stochastic subgradient method converges at the rate $O(k^{-1/4})$ on weakly convex functions$ Stochastic subgradient method converges at the rate $O(k^{-1/4})$ on weakly convex functions Damek Davis Dmitriy Drusvyatskiy 21 100 0 08 Feb 2018
A Stochastic Trust Region Algorithm Based on Careful Step Normalization Frank E. Curtis K. Scheinberg R. Shi 35 45 0 29 Dec 2017
Proximal Gradient Method with Extrapolation and Line Search for a Class of Nonconvex and Nonsmooth Problems Lei Yang 35 23 0 18 Nov 2017
Optimization for Large-Scale Machine Learning with Distributed Features and Observations A. Nathan Diego Klabjan 35 13 0 31 Oct 2016
Learning Scalable Deep Kernels with Recurrent Structure Maruan Al-Shedivat A. Wilson Yunus Saatchi Zhiting Hu Eric Xing BDL 13 104 0 27 Oct 2016
A Primer on Coordinate Descent Algorithms Hao-Jun Michael Shi Shenyinying Tu Yangyang Xu W. Yin 40 90 0 30 Sep 2016
Decentralized Dynamic Discriminative Dictionary Learning Alec Koppel Garrett A. Warnell Ethan Stump Alejandro Ribeiro 22 35 0 03 May 2016
Coordinate Friendly Structures, Algorithms and Applications Zhimin Peng Tianyu Wu Yangyang Xu Ming Yan W. Yin 21 74 0 05 Jan 2016