Learning of Discrete Graphical Models with Neural Networks

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Learning of Discrete Graphical Models with Neural Networks

21 June 2020

Abhijith Jayakumar

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Papers citing "Learning of Discrete Graphical Models with Neural Networks"

19 / 19 papers shown

Title
Discrete distributions are learnable from metastable samples Abhijith Jayakumar A. Lokhov Sidhant Misra Marc Vuffray 208 1 0 17 Oct 2024
Learning Ising models from one or multiple samples Y. Dagan C. Daskalakis Nishanth Dikkala Anthimos Vardis Kandiros 36 10 0 20 Apr 2020
Logistic-Regression with peer-group effects via inference in higher order Ising models C. Daskalakis Nishanth Dikkala Ioannis Panageas 52 11 0 18 Mar 2020
Gradient-Based Neural DAG Learning Sébastien Lachapelle P. Brouillard T. Deleu Simon Lacoste-Julien BDL CML 59 275 0 05 Jun 2019
Regression from Dependent Observations C. Daskalakis Nishanth Dikkala Ioannis Panageas 66 30 0 08 May 2019
Efficient Learning of Discrete Graphical Models Marc Vuffray Sidhant Misra A. Lokhov 51 35 0 02 Feb 2019
Lower bounds for testing graphical models: colorings and antiferromagnetic Ising models Ivona Bezáková Antonio Blanca Zongchen Chen Daniel Stefankovic Eric Vigoda 73 20 0 22 Jan 2019
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models Shanshan Wu Sujay Sanghavi A. Dimakis 61 51 0 28 Oct 2018
Joint estimation of parameters in Ising model Promit Ghosal Soumendu Sundar Mukherjee 75 45 0 19 Jan 2018
Searching for Activation Functions Prajit Ramachandran Barret Zoph Quoc V. Le 69 609 0 16 Oct 2017
Learning Graphical Models Using Multiplicative Weights Adam R. Klivans Raghu Meka 60 113 0 20 Jun 2017
Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications Linus Hamilton Frederic Koehler Ankur Moitra 47 64 0 31 May 2017
Optimal structure and parameter learning of Ising models A. Lokhov Marc Vuffray Sidhant Misra Michael Chertkov 82 80 0 15 Dec 2016
Testing Ising Models C. Daskalakis Nishanth Dikkala Gautam Kamath 62 101 0 09 Dec 2016
Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models Marc Vuffray Sidhant Misra A. Lokhov Michael Chertkov 44 111 0 24 May 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014
Efficiently learning Ising models on arbitrary graphs Guy Bresler 79 203 0 22 Nov 2014
$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 274 957 0 02 Oct 2010
Information-theoretic limits of selecting binary graphical models in high dimensions N. Santhanam Martin J. Wainwright 143 204 0 16 May 2009

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