Mixing Times and Structural Inference for Bernoulli Autoregressive Processes

19 December 2016

Papers citing "Mixing Times and Structural Inference for Bernoulli Autoregressive Processes"

14 / 14 papers shown

Title
Inference of High-dimensional Autoregressive Generalized Linear Models Eric C. Hall Garvesh Raskutti Rebecca Willett 122 38 0 09 May 2016
Active Sensing of Social Networks Hoi-To Wai Anna Scaglione Amir Leshem 45 65 0 21 Jan 2016
Inferring Graphs from Cascades: A Sparse Recovery Framework Jean Pouget-Abadie Thibaut Horel 106 51 0 21 May 2015
Efficiently learning Ising models on arbitrary graphs Guy Bresler 89 204 0 22 Nov 2014
Learning graphical models from the Glauber dynamics Guy Bresler D. Gamarnik Devavrat Shah 66 19 0 28 Oct 2014
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm Hadi Daneshmand Manuel Gomez Rodriguez Le Song Bernhard Schölkopf TPM 71 120 0 12 May 2014
Directed Information Graphs Christopher J. Quinn Negar Kiyavash Todd P. Coleman CML 122 148 0 09 Apr 2012
High-dimensional structure estimation in Ising models: Local separation criterion Anima Anandkumar Vincent Y. F. Tan Furong Huang A. Willsky 190 114 0 08 Jul 2011
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion Anima Anandkumar Vincent Y. F. Tan A. Willsky 110 90 0 06 Jul 2011
Causal Network Inference via Group Sparse Regularization Andrew K. Bolstad B. V. Veen Robert D. Nowak CML 82 143 0 03 Jun 2011
Learning Networks of Stochastic Differential Equations José Bento M. Ibrahimi Andrea Montanari 136 73 0 01 Nov 2010
$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 280 956 0 02 Oct 2010
Information-theoretic limits of selecting binary graphical models in high dimensions N. Santhanam Martin J. Wainwright 146 204 0 16 May 2009
High-dimensional variable selection Larry Wasserman Kathryn Roeder 596 583 0 09 Apr 2007