Learning of Tree-Structured Gaussian Graphical Models on Distributed Data under Communication Constraints

21 September 2018

Papers citing "Learning of Tree-Structured Gaussian Graphical Models on Distributed Data under Communication Constraints"

14 / 14 papers shown

Title
Learning of Gaussian Processes in Distributed and Communication Limited Systems Mostafa Tavassolipour S. Motahari M. Manzuri-Shalmani 29 22 0 07 May 2017
Information-Theoretic Lower Bounds on Bayes Risk in Decentralized Estimation Aolin Xu Maxim Raginsky 117 54 0 02 Jul 2016
Space-Time Representation of People Based on 3D Skeletal Data: A Review Fei Han Brian Reily W. Hoff Hao Zhang 3DH 68 307 0 05 Jan 2016
Communication Lower Bounds for Statistical Estimation Problems via a Distributed Data Processing Inequality M. Braverman A. Garg Tengyu Ma Huy Le Nguyen David P. Woodruff FedML 98 175 0 24 Jun 2015
On Communication Cost of Distributed Statistical Estimation and Dimensionality A. Garg Tengyu Ma Huy Le Nguyen 100 102 0 07 May 2014
Optimality guarantees for distributed statistical estimation John C. Duchi Michael I. Jordan Martin J. Wainwright Yuchen Zhang 90 65 0 05 May 2014
Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models Zhaoshi Meng Dennis L. Wei A. Wiesel Alfred Hero 52 25 0 19 Mar 2013
Deep Gaussian Processes Andreas C. Damianou Neil D. Lawrence GP BDL 149 1,184 0 02 Nov 2012
The Graphical Lasso: New Insights and Alternatives Rahul Mazumder Trevor Hastie 112 289 0 23 Nov 2011
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates Vincent Y. F. Tan Anima Anandkumar A. Willsky 121 49 0 05 May 2010
Learning Gaussian Tree Models: Analysis of Error Exponents and Extremal Structures Vincent Y. F. Tan Anima Anandkumar A. Willsky 106 57 0 28 Sep 2009
A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures Vincent Y. F. Tan Anima Anandkumar L. Tong A. Willsky 128 68 0 07 May 2009
$High-dimensional covariance estimation by minimizing $\ell_1$-penalized log-determinant divergence$ High-dimensional covariance estimation by minimizing $\ell_1$ -penalized log-determinant divergence Pradeep Ravikumar Martin J. Wainwright Garvesh Raskutti Bin Yu 253 873 0 21 Nov 2008
Learning from compressed observations Maxim Raginsky 570 17 0 05 Apr 2007