$High-dimensional Ising model selection using ${\ell_1}$-regularized logistic regression$

High-dimensional Ising model selection using ${\ell_1}$ -regularized logistic regression

2 October 2010

Pradeep Ravikumar

Martin J. Wainwright

John D. Lafferty

Papers citing "High-dimensional Ising model selection using ${\ell_1}$-regularized logistic regression"

10 / 10 papers shown

Title
Efficient Hamiltonian, structure and trace distance learning of Gaussian states Marco Fanizza Cambyse Rouzé Daniel Stilck França 47 5 0 05 Nov 2024
Discrete distributions are learnable from metastable samples Abhijith Jayakumar A. Lokhov Sidhant Misra Marc Vuffray 134 1 0 17 Oct 2024
Network reconstruction via the minimum description length principle Tiago P. Peixoto 52 5 0 02 May 2024
A novel algorithmic approach to Bayesian Logic Regression A. Hubin G. Storvik F. Frommlet 48 16 0 22 May 2017
Maximum entropy models capture melodic styles Jason Sakellariou F. Tria V. Loreto F. Pachet 27 25 0 11 Oct 2016
Learning Polytrees S. Dasgupta TPM 93 129 0 23 Jan 2013
Maximum Likelihood Bounded Tree-Width Markov Networks Nathan Srebro TPM 77 128 0 10 Jan 2013
Support union recovery in high-dimensional multivariate regression G. Obozinski Martin J. Wainwright Michael I. Jordan 178 323 0 05 Aug 2008
$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 179 177 0 26 Apr 2008
Sparse permutation invariant covariance estimation Adam J. Rothman Peter J. Bickel Elizaveta Levina Ji Zhu 469 907 0 31 Jan 2008