Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses

3 December 2012

Papers citing "Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses"

26 / 26 papers shown

Title
Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise Augusto Santos Diogo Rente Rui Seabra José M. F. Moura 19 4 0 10 Dec 2023
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks Yujia Zheng Ignavier Ng Yewen Fan Kun Zhang 11 4 0 19 May 2023
Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry A. Maurais Terrence Alsup Benjamin Peherstorfer Youssef Marzouk 28 7 0 31 Jan 2023
An additive graphical model for discrete data Jun Tao Bing Li Lingzhou Xue 10 3 0 29 Dec 2021
A data-centric weak supervised learning for highway traffic incident detection Yixuan Sun Tanwi Mallick Prasanna Balaprakash Jane Macfarlane 19 13 0 17 Dec 2021
Mandoline: Model Evaluation under Distribution Shift Mayee F. Chen Karan Goel N. Sohoni Fait Poms Kayvon Fatahalian Christopher Ré 28 69 0 01 Jul 2021
Outlier-Robust Learning of Ising Models Under Dobrushin's Condition Ilias Diakonikolas D. Kane Alistair Stewart Yuxin Sun 24 15 0 03 Feb 2021
Ivy: Instrumental Variable Synthesis for Causal Inference Zhaobin Kuang Frederic Sala N. Sohoni Sen Wu A. Córdova-Palomera Jared A. Dunnmon J. Priest Christopher Ré CML 19 26 0 11 Apr 2020
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification Xiang Gao Wei Hu Zongming Guo GNN 20 1 0 23 Apr 2019
Learning Dependency Structures for Weak Supervision Models P. Varma Frederic Sala A. He Alexander Ratner Christopher Ré NoLa 19 67 0 14 Mar 2019
Ising Models with Latent Conditional Gaussian Variables Frank Nussbaum Joachim Giesen CML 17 6 0 28 Jan 2019
Graphical Models for Extremes Sebastian Engelke Adrien Hitz 24 110 0 04 Dec 2018
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting Rebecca E. Morrison Ricardo Baptista Youssef Marzouk CML 33 26 0 02 Nov 2017
Learning Graphs with Monotone Topology Properties and Multiple Connected Components Eduardo Pavez Hilmi E. Egilmez Antonio Ortega 31 54 0 31 May 2017
Graphical Models for Discrete and Continuous Data Rui Zhuang Noah Simon Johannes Lederer 13 4 0 18 Sep 2016
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk A. Belloni Mingli Chen Victor Chernozhukov 17 7 0 01 Jul 2016
Robust Learning of Fixed-Structure Bayesian Networks Yu Cheng Ilias Diakonikolas D. Kane Alistair Stewart OOD 46 46 0 23 Jun 2016
Learning a Tree-Structured Ising Model in Order to Make Predictions Guy Bresler Mina Karzand 55 46 0 22 Apr 2016
Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression Bryon Aragam Arash A. Amini Qing Zhou CML 21 42 0 29 Nov 2015
Palindromic Bernoulli distributions G. M. Marchetti N. Wermuth 35 16 0 30 Oct 2015
Structure estimation for mixed graphical models in high-dimensional data Jonas M. B. Haslbeck L. Waldorp CML 24 47 0 19 Oct 2015
Structure Learning of Partitioned Markov Networks Song Liu Taiji Suzuki Masashi Sugiyama Kenji Fukumizu 21 2 0 02 Apr 2015
Sparse and compositionally robust inference of microbial ecological networks Zachary D. Kurtz Christian L. Müller Emily R. Miraldi D. Littman M. Blaser Richard Bonneau 37 1,226 0 18 Aug 2014
Learning Laplacian Matrix in Smooth Graph Signal Representations Xiaowen Dong D. Thanou P. Frossard P. Vandergheynst 27 28 0 30 Jun 2014
Asymptotically Normal and Efficient Estimation of Covariate-Adjusted Gaussian Graphical Model Mengjie Chen Zhao Ren Hongyu Zhao Harrison H. Zhou 35 59 0 23 Sep 2013
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima Po-Ling Loh Martin J. Wainwright 31 513 0 10 May 2013