Learning Latent Tree Graphical Models

14 September 2010

Vincent Y. F. Tan

Papers citing "Learning Latent Tree Graphical Models"

37 / 87 papers shown

Title
Information Theoretic Structure Learning with Confidence Kevin R. Moon M. Noshad Salimeh Yasaei Sekeh Alfred Hero 19 18 0 13 Sep 2016
Towards Representation Learning with Tractable Probabilistic Models Antonio Vergari Nicola Di Mauro F. Esposito TPM 20 0 0 08 Aug 2016
Network Maximal Correlation S. Feizi A. Makhdoumi K. Duffy Muriel Médard Manolis Kellis 26 12 0 15 Jun 2016
Discovery of Latent Factors in High-dimensional Data Using Tensor Methods Furong Huang 35 6 0 10 Jun 2016
Latent Tree Models for Hierarchical Topic Detection Peixian Chen N. Zhang Tengfei Liu Leonard K. M. Poon Zhourong Chen Farhan Khawar 18 52 0 21 May 2016
Synthesis of Gaussian Trees with Correlation Sign Ambiguity: An Information Theoretic Approach A. Moharrer Shuangqing Wei G. Amariucai Jing Deng 17 5 0 24 Jan 2016
Occlusion-Aware Human Pose Estimation with Mixtures of Sub-Trees Ibrahim Radwan Abhinav Dhall Roland Göcke 13 2 0 03 Dec 2015
Phase transition in the sample complexity of likelihood-based phylogeny inference S. Roch Allan Sly 16 26 0 08 Aug 2015
Stochastic And-Or Grammars: A Unified Framework and Logic Perspective Kewei Tu 24 4 0 02 Jun 2015
Multi-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models Tejaswi Nimmagadda Anima Anandkumar OCL 24 9 0 02 May 2015
Graphical Fermat's Principle and Triangle-Free Graph Estimation Junwei Lu Han Liu 24 0 0 23 Apr 2015
Towards Building Deep Networks with Bayesian Factor Graphs A. Buonanno F. Palmieri AI4CE 21 5 0 16 Feb 2015
Marginal likelihood and model selection for Gaussian latent tree and forest models Mathias Drton Shaowei Lin Luca Weihs Piotr Zwiernik 30 28 0 29 Dec 2014
Guaranteed Scalable Learning of Latent Tree Models Furong Huang U. Niranjan Ioakeim Perros Robert Chen Jimeng Sun Anima Anandkumar 34 7 0 18 Jun 2014
Learning Latent Variable Gaussian Graphical Models Zhaoshi Meng Brian Eriksson Alfred Hero 30 41 0 10 Jun 2014
Discovering Structure in High-Dimensional Data Through Correlation Explanation Greg Ver Steeg Aram Galstyan CML 36 97 0 04 Jun 2014
Exchangeable Variable Models Mathias Niepert Pedro M. Domingos 36 19 0 02 May 2014
Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression Divyanshu Vats Richard G. Baraniuk 20 5 0 23 Feb 2014
A Survey on Latent Tree Models and Applications R. Mourad Christine Sinoquet N. Zhang Tengfei Liu Philippe Leray 29 91 0 04 Feb 2014
Nonparametric Latent Tree Graphical Models: Inference, Estimation, and Structure Learning Le Song Han Liu Ankur P. Parikh Eric Xing 71 9 0 16 Jan 2014
Learning Gaussian Graphical Models with Observed or Latent FVSs Y. Liu A. Willsky 35 24 0 10 Nov 2013
Beyond Physical Connections: Tree Models in Human Pose Estimation Fang Wang Yi Li 26 146 0 10 May 2013
A Junction Tree Framework for Undirected Graphical Model Selection Divyanshu Vats Robert D. Nowak CML 57 8 0 17 Apr 2013
High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models Majid Janzamin Anima Anandkumar 38 12 0 05 Nov 2012
Lifted Relational Variational Inference Jaesik Choi Eyal Amir BDL 43 21 0 16 Oct 2012
Unfolding Latent Tree Structures using 4th Order Tensors Mariya Ishteva Haesun Park Le Song 22 16 0 03 Oct 2012
Learning Topic Models and Latent Bayesian Networks Under Expansion Constraints Anima Anandkumar Daniel J. Hsu Adel Javanmard Sham Kakade 55 8 0 24 Sep 2012
High-Dimensional Covariance Decomposition into Sparse Markov and Independence Domains Majid Janzamin A. Anandkumar 26 3 0 27 Jun 2012
Learning loopy graphical models with latent variables: Efficient methods and guarantees Anima Anandkumar R. Valluvan 52 50 0 17 Mar 2012
Learning High-Dimensional Mixtures of Graphical Models Anima Anandkumar Daniel J. Hsu F. Huang Sham Kakade 41 10 0 04 Mar 2012
Sparse Nonparametric Graphical Models John D. Lafferty Han Liu Larry A. Wasserman 59 64 0 04 Jan 2012
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
High-dimensional structure estimation in Ising models: Local separation criterion Anima Anandkumar Vincent Y. F. Tan Furong Huang A. Willsky 58 114 0 08 Jul 2011
Spectral Methods for Learning Multivariate Latent Tree Structure Omer Tamuz Ce Liu Daniel J. Hsu Ohad Shamir Serge J. Belongie Tong Zhang 50 249 0 07 Jul 2011
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion Anima Anandkumar Vincent Y. F. Tan A. Willsky 58 90 0 06 Jul 2011
High Dimensional Structure Learning of Ising Models on Sparse Random Graphs Anima Anandkumar Vincent Tan A. Willsky 91 5 0 31 Oct 2010
A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures Vincent Y. F. Tan Anima Anandkumar L. Tong A. Willsky 78 68 0 07 May 2009