Regularized Risk Minimization by Nesterov's Accelerated Gradient Methods: Algorithmic Extensions and Empirical Studies

1 November 2010

Papers citing "Regularized Risk Minimization by Nesterov's Accelerated Gradient Methods: Algorithmic Extensions and Empirical Studies"

5 / 5 papers shown

Title
NESVM: a Fast Gradient Method for Support Vector Machines Dinesh Manocha Dacheng Tao Xindong Wu 133 49 0 24 Aug 2010
Faster Rates for training Max-Margin Markov Networks Xinhua Zhang Ankan Saha S. University 102 1 0 06 Mar 2010
Lower Bounds for BMRM and Faster Rates for Training SVMs Ankan Saha Xinhua Zhang Nicta 102 3 0 07 Sep 2009
Online Learning for Matrix Factorization and Sparse Coding Julien Mairal Francis R. Bach Jean Ponce Guillermo Sapiro 149 2,615 0 01 Aug 2009
Smooth Optimization Approach for Sparse Covariance Selection Zhaosong Lu 97 30 0 04 Apr 2009