Learning a Tree-Structured Ising Model in Order to Make Predictions

22 April 2016

Papers citing "Learning a Tree-Structured Ising Model in Order to Make Predictions"

29 / 29 papers shown

Title
Efficient Sample-optimal Learning of Gaussian Tree Models via Sample-optimal Testing of Gaussian Mutual Information Sutanu Gayen Sanket Kale Sayantan Sen 65 0 0 18 Nov 2024
Finding Super-spreaders in Network Cascades Elchanan Mossel Anirudh Sridhar 24 1 0 05 Mar 2024
A Unified Approach to Learning Ising Models: Beyond Independence and Bounded Width Jason Gaitonde Elchanan Mossel 14 8 0 15 Nov 2023
Interaction Screening and Pseudolikelihood Approaches for Tensor Learning in Ising Models Tianyu Liu Somabha Mukherjee 19 0 0 20 Oct 2023
Tensor Recovery in High-Dimensional Ising Models Tianyu Liu Somabha Mukherjee Rahul Biswas 15 2 0 02 Apr 2023
Learning and Testing Latent-Tree Ising Models Efficiently Davin Choo Y. Dagan C. Daskalakis Anthimos Vardis Kandiros 22 8 0 23 Nov 2022
Generative Modeling via Tree Tensor Network States Xun Tang Y. Hur Y. Khoo Lexing Ying 16 8 0 03 Sep 2022
Active-LATHE: An Active Learning Algorithm for Boosting the Error Exponent for Learning Homogeneous Ising Trees Fengzhuo Zhang Anshoo Tandon Vincent Y. F. Tan 14 1 0 27 Oct 2021
Decentralized Learning of Tree-Structured Gaussian Graphical Models from Noisy Data Akram Hussain 16 0 0 22 Sep 2021
Learning Linear Polytree Structural Equation Models Xingmei Lou Yu Hu Xiaodong Li CML 25 1 0 22 Jul 2021
Chow-Liu++: Optimal Prediction-Centric Learning of Tree Ising Models Enric Boix-Adserà Guy Bresler Frederic Koehler TPM 18 10 0 07 Jun 2021
Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise A. Katiyar Soumya Basu Vatsal Shah C. Caramanis 14 0 0 17 Feb 2021
Robust estimation of tree structured models M. Casanellas Marina Garrote-López Piotr Zwiernik NoLa 17 6 0 10 Feb 2021
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples Anshoo Tandon Aldric H. J. Yuan Vincent Y. F. Tan 11 9 0 22 Jan 2021
Near-Optimal Learning of Tree-Structured Distributions by Chow-Liu Arnab Bhattacharyya Sutanu Gayen Eric Price N. V. Vinodchandran 13 22 0 09 Nov 2020
Limits on Testing Structural Changes in Ising Models Aditya Gangrade B. Nazer Venkatesh Saligrama 17 0 0 07 Nov 2020
Sample-Optimal and Efficient Learning of Tree Ising models C. Daskalakis Qinxuan Pan 11 7 0 28 Oct 2020
Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations M. Wilinski A. Lokhov 12 9 0 13 Jul 2020
Robust Estimation of Tree Structured Ising Models A. Katiyar Vatsal Shah C. Caramanis TPM 17 10 0 10 Jun 2020
Learning Restricted Boltzmann Machines with Sparse Latent Variables Guy Bresler Rares-Darius Buhai 13 2 0 07 Jun 2020
Exact Asymptotics for Learning Tree-Structured Graphical Models with Side Information: Noiseless and Noisy Samples Anshoo Tandon Vincent Y. F. Tan Shiyao Zhu 17 7 0 09 May 2020
Logistic-Regression with peer-group effects via inference in higher order Ising models C. Daskalakis Nishanth Dikkala Ioannis Panageas 16 11 0 18 Mar 2020
Bayesian Model Selection for High-Dimensional Ising Models, With Applications to Educational Data Jaewoo Park Ick Hoon Jin M. Schweinberger 10 6 0 17 Nov 2019
Optimal Rates for Learning Hidden Tree Structures Konstantinos E. Nikolakakis Dionysios S. Kalogerias Anand D. Sarwate TPM 27 4 0 20 Sep 2019
Predictive Learning on Hidden Tree-Structured Ising Models Konstantinos E. Nikolakakis Dionysios S. Kalogerias Anand D. Sarwate 18 12 0 11 Dec 2018
Stein's Method for Stationary Distributions of Markov Chains and Application to Ising Models Guy Bresler Dheeraj M. Nagaraj 8 25 0 15 Dec 2017
Structure Learning of $H$ -colorings Antonio Blanca Zongchen Chen Daniel Stefankovic Eric Vigoda 25 3 0 17 Aug 2017
Testing Ising Models C. Daskalakis Nishanth Dikkala Gautam Kamath 13 101 0 09 Dec 2016
Learning Polytrees S. Dasgupta TPM 64 129 0 23 Jan 2013