Learning Ising models from one or multiple samples

Learning Ising models from one or multiple samples

20 April 2020

Nishanth Dikkala

Anthimos Vardis Kandiros

Papers citing "Learning Ising models from one or multiple samples"

19 / 19 papers shown

Title
Worst-Case Analysis for Randomly Collected Data Justin Y. Chen Gregory Valiant Paul Valiant 20 3 0 09 Nov 2019
Learning from weakly dependent data under Dobrushin's condition Y. Dagan C. Daskalakis Nishanth Dikkala S. Jayanti 44 24 0 21 Jun 2019
Regression from Dependent Observations C. Daskalakis Nishanth Dikkala Ioannis Panageas 51 30 0 08 May 2019
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models Shanshan Wu Sujay Sanghavi A. Dimakis 42 50 0 28 Oct 2018
Optimal Single Sample Tests for Structured versus Unstructured Network Data Guy Bresler Dheeraj M. Nagaraj 48 27 0 17 Feb 2018
Joint estimation of parameters in Ising model Promit Ghosal Soumendu Sundar Mukherjee 60 45 0 19 Jan 2018
Stein's Method for Stationary Distributions of Markov Chains and Application to Ising Models Guy Bresler Dheeraj M. Nagaraj 33 25 0 15 Dec 2017
Concentration of Multilinear Functions of the Ising Model with Applications to Network Data C. Daskalakis Nishanth Dikkala Gautam Kamath 35 23 0 11 Oct 2017
Learning Graphical Models Using Multiplicative Weights Adam R. Klivans Raghu Meka 37 112 0 20 Jun 2017
Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications Linus Hamilton Frederic Koehler Ankur Moitra 30 64 0 31 May 2017
Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models Marc Vuffray Sidhant Misra A. Lokhov Michael Chertkov 35 111 0 24 May 2016
Inference in Ising Models B. Bhattacharya Soumendu Sundar Mukherjee 46 58 0 25 Jul 2015
Efficiently learning Ising models on arbitrary graphs Guy Bresler 60 202 0 22 Nov 2014
Rademacher complexity of stationary sequences D. McDonald C. Shalizi 47 8 0 03 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 188 957 0 02 Oct 2010
Predictive PAC learnability: a paradigm for learning from exchangeable input data V. Pestov 38 19 0 06 Jun 2010
Rate of convergence of predictive distributions for dependent data P. Berti I. Crimaldi L. Pratelli P. Rigo 71 22 0 13 Jan 2010
Information-theoretic limits of selecting binary graphical models in high dimensions N. Santhanam Martin J. Wainwright 110 203 0 16 May 2009
Stability Bound for Stationary Phi-mixing and Beta-mixing Processes M. Mohri Afshin Rostamizadeh 64 152 0 11 Nov 2008