Stochastic Dual Coordinate Ascent Methods for Regularized Loss
Minimization

Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization

10 September 2012

Shai Shalev-Shwartz

Tong Zhang

Papers citing "Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization"

13 / 13 papers shown

Title
Joker: Joint Optimization Framework for Lightweight Kernel Machines Junhong Zhang Zhihui Lai 26 0 0 23 May 2025
HOME-3: High-Order Momentum Estimator with Third-Power Gradient for Convex and Smooth Nonconvex Optimization Wei Zhang Arif Hassan Zidan Afrar Jahin Wei Zhang Tianming Liu ODL 42 0 0 16 May 2025
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes J. Lin Shreyas Padhy Bruno Mlodozeniec Javier Antorán José Miguel Hernández-Lobato 55 2 0 28 May 2024
Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large Batches Michal Derezinski 65 6 0 06 Jun 2022
Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization Chaobing Song Yong Jiang Yi-An Ma 78 23 0 18 Jun 2020
Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling Mojmír Mutný Michal Derezinski Andreas Krause 86 21 0 25 Oct 2019
SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient Lam M. Nguyen Jie Liu K. Scheinberg Martin Takáč ODL 141 601 0 01 Mar 2017
Riemannian stochastic variance reduced gradient algorithm with retraction and vector transport Hiroyuki Sato Hiroyuki Kasai Bamdev Mishra 109 58 0 18 Feb 2017
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving Shai Shalev-Shwartz Shaked Shammah Amnon Shashua 35 828 0 11 Oct 2016
Linear Support Tensor Machine: Pedestrian Detection in Thermal Infrared Images S. K. Biswas P. Milanfar 29 71 0 26 Sep 2016
Importance Sampling for Minibatches Dominik Csiba Peter Richtárik 53 114 0 06 Feb 2016
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs Simon Lacoste-Julien Martin Jaggi Mark Schmidt Patrick A. Pletscher 107 365 0 19 Jul 2012
A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets Nicolas Le Roux Mark Schmidt Francis R. Bach ODL 53 103 0 28 Feb 2012