Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates

5 May 2010

Vincent Y. F. Tan

Papers citing "Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates"

22 / 22 papers shown

Title
Optimal estimation of Gaussian (poly)trees Yuhao Wang Ming Gao Wai Ming Tai Bryon Aragam Arnab Bhattacharyya TPM 32 1 0 09 Feb 2024
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples Anshoo Tandon Aldric H. J. Yuan Vincent Y. F. Tan 16 9 0 22 Jan 2021
Exact Asymptotics for Learning Tree-Structured Graphical Models with Side Information: Noiseless and Noisy Samples Anshoo Tandon Vincent Y. F. Tan Shiyao Zhu 25 7 0 09 May 2020
Optimal Rates for Learning Hidden Tree Structures Konstantinos E. Nikolakakis Dionysios S. Kalogerias Anand D. Sarwate TPM 32 4 0 20 Sep 2019
An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation Jonathan Scarlett V. Cevher 36 39 0 02 Jan 2019
Structure Learning of Sparse GGMs over Multiple Access Networks Mostafa Tavassolipour Armin Karamzade Reza Mirzaeifard S. Motahari M. M. Manzuri Shalmani 27 2 0 26 Dec 2018
Predictive Learning on Hidden Tree-Structured Ising Models Konstantinos E. Nikolakakis Dionysios S. Kalogerias Anand D. Sarwate 25 12 0 11 Dec 2018
Learning of Tree-Structured Gaussian Graphical Models on Distributed Data under Communication Constraints Mostafa Tavassolipour S. Motahari M. Manzuri-Shalmani 16 8 0 21 Sep 2018
Beyond Trees: Classification with Sparse Pairwise Dependencies Yaniv Tenzer Amit Moscovich M. Dorn B. Nadler C. Spiegelman 14 1 0 06 Jun 2018
Latent tree models Piotr Zwiernik 31 12 0 02 Aug 2017
Structure Learning in Graphical Modeling Mathias Drton Marloes H. Maathuis CML 47 246 0 07 Jun 2016
Learning a Tree-Structured Ising Model in Order to Make Predictions Guy Bresler Mina Karzand 57 46 0 22 Apr 2016
Phase transition in the sample complexity of likelihood-based phylogeny inference S. Roch Allan Sly 16 26 0 08 Aug 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
A Survey on Latent Tree Models and Applications R. Mourad Christine Sinoquet N. Zhang Tengfei Liu Philippe Leray 24 91 0 04 Feb 2014
Greedy Learning of Markov Network Structure Praneeth Netrapalli Siddhartha Banerjee Sujay Sanghavi Sanjay Shakkottai 57 56 0 08 Feb 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
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion Anima Anandkumar Vincent Y. F. Tan A. Willsky 56 90 0 06 Jul 2011
High Dimensional Structure Learning of Ising Models on Sparse Random Graphs Anima Anandkumar Vincent Tan A. Willsky 86 5 0 31 Oct 2010
Learning Latent Tree Graphical Models M. Choi Vincent Y. F. Tan Anima Anandkumar A. Willsky 56 262 0 14 Sep 2010
A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures Vincent Y. F. Tan Anima Anandkumar L. Tong A. Willsky 76 68 0 07 May 2009