411 citations · 3k across the 39 of their papers we have counts for
Showing 2013 · stat.MLShow all
3 papers · 2 filters
stat.ML2013
Learning Pairwise Graphical Models with Nonlinear Sufficient Statistics
Xiao-Tong Yuan, Ping Li, Tong Zhang
We investigate a generic problem of learning pairwise exponential family graphical models with pairwise sufficient statistics defined by a global mapping function, e.g., Mercer ker…
stat.ML2013★ 14 cited
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization
Shai Shalev-Shwartz, Tong Zhang
We introduce a proximal version of the stochastic dual coordinate ascent method and show how to accelerate the method using an inner-outer iteration procedure. We analyze the runti…
stat.ML2013★ 59 cited
Accelerated Mini-Batch Stochastic Dual Coordinate Ascent
Shai Shalev-Shwartz, Tong Zhang
Stochastic dual coordinate ascent (SDCA) is an effective technique for solving regularized loss minimization problems in machine learning. This paper considers an extension of SDCA…