Efficient Learning of Discrete Graphical Models

2 February 2019

Papers citing "Efficient Learning of Discrete Graphical Models"

9 / 9 papers shown

Title
Discrete distributions are learnable from metastable samples Abhijith Jayakumar A. Lokhov Sidhant Misra Marc Vuffray 42 1 0 17 Oct 2024
A Markov Random Field Multi-Modal Variational AutoEncoder Fouad Oubari M. Baha Raphael Meunier Rodrigue Décatoire Mathilde Mougeot 36 0 0 18 Aug 2024
Learning Energy-Based Representations of Quantum Many-Body States Abhijith Jayakumar Marc Vuffray A. Lokhov AI4CE 32 3 0 08 Apr 2023
Learning and Testing Latent-Tree Ising Models Efficiently Davin Choo Y. Dagan C. Daskalakis Anthimos Vardis Kandiros 29 8 0 23 Nov 2022
On counterfactual inference with unobserved confounding Abhin Shah Raaz Dwivedi Devavrat Shah G. Wornell 23 11 0 14 Nov 2022
Fair Inference for Discrete Latent Variable Models Rashidul Islam Shimei Pan James R. Foulds FaML 46 1 0 15 Sep 2022
A Computationally Efficient Method for Learning Exponential Family Distributions Abhin Shah Devavrat Shah G. Wornell 30 10 0 28 Oct 2021
Learning Restricted Boltzmann Machines with Sparse Latent Variables Guy Bresler Rares-Darius Buhai 18 2 0 07 Jun 2020
Lower bounds for testing graphical models: colorings and antiferromagnetic Ising models Ivona Bezáková Antonio Blanca Zongchen Chen Daniel Stefankovic Eric Vigoda 11 20 0 22 Jan 2019