Information-theoretic limits of selecting binary graphical models in high dimensions

16 May 2009

Papers citing "Information-theoretic limits of selecting binary graphical models in high dimensions"

17 / 117 papers shown

Title
Efficiently learning Ising models on arbitrary graphs Guy Bresler 39 201 0 22 Nov 2014
On the Information Theoretic Limits of Learning Ising Models Karthikeyan Shanmugam Rashish Tandon A. Dimakis Pradeep Ravikumar 15 36 0 05 Nov 2014
Learning graphical models from the Glauber dynamics Guy Bresler D. Gamarnik Devavrat Shah 37 18 0 28 Oct 2014
Learning the Conditional Independence Structure of Stationary Time Series: A Multitask Learning Approach A. Jung 42 31 0 04 Apr 2014
High-dimensional Ising model selection with Bayesian information criteria Rina Foygel Barber Mathias Drton 35 118 0 13 Mar 2014
Compressive Nonparametric Graphical Model Selection For Time Series A. Jung Reinhard Heckel Helmut Bölcskei F. Hlawatsch CML 59 18 0 13 Nov 2013
Distance-based and continuum Fano inequalities with applications to statistical estimation John C. Duchi Martin J. Wainwright 43 66 0 12 Nov 2013
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses Po-Ling Loh Martin J. Wainwright 42 180 0 03 Dec 2012
Discussion: Latent variable graphical model selection via convex optimization Christophe Giraud Alexandre B. Tsybakov 36 8 0 05 Nov 2012
Discussion: Latent variable graphical model selection via convex optimization Martin J. Wainwright 48 8 0 05 Nov 2012
The Price of Privacy in Untrusted Recommendation Engines Siddhartha Banerjee N. Hegde Laurent Massoulié 46 18 0 13 Jul 2012
Learning Loosely Connected Markov Random Fields R. Wu R. Srikant J. Ni 45 20 0 25 Apr 2012
Greedy Learning of Markov Network Structure Praneeth Netrapalli Siddhartha Banerjee Sujay Sanghavi Sanjay Shakkottai 57 56 0 08 Feb 2012
On the trade-off between complexity and correlation decay in structural learning algorithms José Bento Andrea Montanari 42 3 0 08 Oct 2011
Robust estimation of latent tree graphical models: Inferring hidden states with inexact parameters Elchanan Mossel S. Roch Allan Sly 28 19 0 21 Sep 2011
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates Vincent Y. F. Tan Anima Anandkumar A. Willsky 65 49 0 05 May 2010
Learning Gaussian Tree Models: Analysis of Error Exponents and Extremal Structures Vincent Y. F. Tan Anima Anandkumar A. Willsky 55 57 0 28 Sep 2009