Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error

12 May 2020

Papers citing "Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error"

5 / 5 papers shown

Title
Lipschitz Parametrization of Probabilistic Graphical Models Jean Honorio 60 22 0 14 Feb 2012
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization Mark Schmidt Nicolas Le Roux Francis R. Bach 210 583 0 12 Sep 2011
$High-dimensional Ising model selection using ${\ell_1}$-regularized logistic regression$ High-dimensional Ising model selection using ${\ell_1}$ -regularized logistic regression Pradeep Ravikumar Martin J. Wainwright John D. Lafferty 277 957 0 02 Oct 2010
Empirical Bernstein Bounds and Sample Variance Penalization Andreas Maurer Massimiliano Pontil 397 545 0 21 Jul 2009
$High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression$ High-Dimensional Graphical Model Selection Using $\ell_1$ -Regularized Logistic Regression Pradeep Ravikumar Martin J. Wainwright John D. Lafferty 305 177 0 26 Apr 2008