On the Information Theoretic Limits of Learning Ising Models

5 November 2014

Papers citing "On the Information Theoretic Limits of Learning Ising Models"

12 / 12 papers shown

Title
Entropy-driven Unsupervised Keypoint Representation Learning in Videos A. Younes Simone Schaub-Meyer Georgia Chalvatzaki SSL 36 0 0 30 Sep 2022
Limits on Testing Structural Changes in Ising Models Aditya Gangrade B. Nazer Venkatesh Saligrama 27 0 0 07 Nov 2020
Information-Theoretic Lower Bounds for Zero-Order Stochastic Gradient Estimation Abdulrahman Alabdulkareem Jean Honorio 19 2 0 31 Mar 2020
Learning Dependency Structures for Weak Supervision Models P. Varma Frederic Sala A. He Alexander Ratner Christopher Ré NoLa 19 67 0 14 Mar 2019
High-Temperature Structure Detection in Ferromagnets Yuan Cao Matey Neykov Han Liu 24 10 0 21 Sep 2018
The Minimax Learning Rates of Normal and Ising Undirected Graphical Models Luc Devroye Abbas Mehrabian Tommy Reddad 18 29 0 18 Jun 2018
Lower Bounds for Two-Sample Structural Change Detection in Ising and Gaussian Models Aditya Gangrade B. Nazer Venkatesh Saligrama 24 6 0 28 Oct 2017
Property Testing in High Dimensional Ising models Matey Neykov Han Liu 24 20 0 20 Sep 2017
Optimal structure and parameter learning of Ising models A. Lokhov Marc Vuffray Sidhant Misra Michael Chertkov 33 80 0 15 Dec 2016
Lower Bounds on Active Learning for Graphical Model Selection Jonathan Scarlett V. Cevher 33 8 0 08 Jul 2016
Learning a Tree-Structured Ising Model in Order to Make Predictions Guy Bresler Mina Karzand 57 46 0 22 Apr 2016
On the Difficulty of Selecting Ising Models with Approximate Recovery Jonathan Scarlett V. Cevher 33 12 0 11 Feb 2016