On Data Preconditioning for Regularized Loss Minimization

On Data Preconditioning for Regularized Loss Minimization

13 August 2014

Qihang Lin

Papers citing "On Data Preconditioning for Regularized Loss Minimization"

6 / 6 papers shown

Title
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters Zeyuan Allen-Zhu Yang Yuan Karthik Sridharan 20 27 0 05 Feb 2016
Matrix Coherence and the Nystrom Method Ameet Talwalkar Afshin Rostamizadeh 96 88 0 09 Aug 2014
Scalable Kernel Methods via Doubly Stochastic Gradients Bo Dai Bo Xie Niao He Yingyu Liang Anant Raj Maria-Florina Balcan Le Song 46 227 0 21 Jul 2014
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 93 737 0 19 Mar 2014
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 104 572 0 08 Dec 2012
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 86 281 0 09 Aug 2012