Interaction Screening: Efficient and Sample-Optimal Learning of Ising
Models

Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models

24 May 2016

Michael Chertkov

Papers citing "Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models"

14 / 14 papers shown

Title
Efficient Hamiltonian, structure and trace distance learning of Gaussian states Marco Fanizza Cambyse Rouzé Daniel Stilck França 52 6 0 05 Nov 2024
Discrete distributions are learnable from metastable samples Abhijith Jayakumar A. Lokhov Sidhant Misra Marc Vuffray 163 1 0 17 Oct 2024
Network reconstruction via the minimum description length principle Tiago P. Peixoto 59 5 0 02 May 2024
Structure learning of Hamiltonians from real-time evolution Ainesh Bakshi Allen Liu Ankur Moitra Ewin Tang 47 13 0 30 Apr 2024
Learning Planar Ising Models Jason K. Johnson Diane Oyen Michael Chertkov Praneeth Netrapalli 84 12 0 03 Feb 2015
Efficiently learning Ising models on arbitrary graphs Guy Bresler 65 203 0 22 Nov 2014
Hardness of parameter estimation in graphical models Guy Bresler D. Gamarnik Devavrat Shah 47 32 0 12 Sep 2014
Computational Implications of Reducing Data to Sufficient Statistics Andrea Montanari 47 38 0 12 Sep 2014
Fast global convergence of gradient methods for high-dimensional statistical recovery Alekh Agarwal S. Negahban Martin J. Wainwright 95 242 0 25 Apr 2011
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 362 1,378 0 13 Oct 2010
$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 234 957 0 02 Oct 2010
Which graphical models are difficult to learn? Andrea Montanari J. A. Pereira 84 90 0 30 Oct 2009
Information-theoretic limits of selecting binary graphical models in high dimensions N. Santhanam Martin J. Wainwright 130 204 0 16 May 2009
Reconstruction of Markov Random Fields from Samples: Some Easy Observations and Algorithms Guy Bresler Elchanan Mossel Allan Sly 93 159 0 10 Dec 2007

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.