Lower Bounds for Two-Sample Structural Change Detection in Ising and Gaussian Models

28 October 2017

Papers citing "Lower Bounds for Two-Sample Structural Change Detection in Ising and Gaussian Models"

15 / 15 papers shown

Title
Learning Sparse Structural Changes in High-dimensional Markov Networks: A Review on Methodologies and Theories Song Liu Kenji Fukumizu Taiji Suzuki 43 17 0 06 Jan 2017
Testing Ising Models C. Daskalakis Nishanth Dikkala Gautam Kamath 39 101 0 09 Dec 2016
Generalized Direct Change Estimation in Ising Model Structure F. Fazayeli A. Banerjee 55 26 0 16 Jun 2016
$On the inconsistency of $\ell_1$-penalised sparse precision matrix estimation$ On the inconsistency of $\ell_1$ -penalised sparse precision matrix estimation Otte Heinävaara Janne Leppä-aho J. Corander Antti Honkela 26 14 0 08 Mar 2016
Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity Eugene Belilovsky Gaël Varoquaux Matthew B. Blaschko 19 64 0 29 Dec 2015
Efficiently learning Ising models on arbitrary graphs Guy Bresler 50 201 0 22 Nov 2014
On the Information Theoretic Limits of Learning Ising Models Karthikeyan Shanmugam Rashish Tandon A. Dimakis Pradeep Ravikumar 27 36 0 05 Nov 2014
Support Consistency of Direct Sparse-Change Learning in Markov Networks Song Liu Taiji Suzuki Raissa Relator Jun Sese Masashi Sugiyama Kenji Fukumizu 41 23 0 02 Jul 2014
Learning Structural Changes of Gaussian Graphical Models in Controlled Experiments Bai Zhang Yijiao Wang AI4CE CML 41 50 0 15 Mar 2012
High-dimensional structure estimation in Ising models: Local separation criterion Anima Anandkumar Vincent Y. F. Tan Furong Huang A. Willsky 122 114 0 08 Jul 2011
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion Anima Anandkumar Vincent Y. F. Tan A. Willsky 72 90 0 06 Jul 2011
Detection of correlations E. Arias-Castro Sébastien Bubeck Gábor Lugosi 50 61 0 06 Jun 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 110 957 0 02 Oct 2010
Which graphical models are difficult to learn? Andrea Montanari J. A. Pereira 58 90 0 30 Oct 2009
Information-theoretic limits of selecting binary graphical models in high dimensions N. Santhanam Martin J. Wainwright 98 203 0 16 May 2009