undirected graphical model

Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables AAAI 2021 Structure Learning of Undirected Graphical Models for Count Data JMLR 2021 Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models NeurIPS 2020 Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models COLT 2020 Undirected Graphical Models as Approximate Posteriors ICML 2020 Amortized Bethe Free Energy Minimization for Learning MRFs NeurIPS 2019 The Edge Density Barrier: Computational-Statistical Tradeoffs in Combinatorial Inference ICML 2018 Neural Variational Inference and Learning in Undirected Graphical Models NeurIPS 2017 Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks NeurIPS 2017 Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions NeurIPS 2015 Graphical Models via Univariate Exponential Family Distributions JMLR 2015 Learning Large-Scale Poisson DAG Models based on OverDispersion Scoring NeurIPS 2015 A Junction Tree Framework for Undirected Graphical Model Selection JMLR 2014 Distributed Parameter Estimation in Probabilistic Graphical Models NeurIPS 2014 Graph Estimation From Multi-Attribute Data JMLR 2014 Structure learning of antiferromagnetic Ising models NeurIPS 2014 Towards Maximum Likelihood: Learning Undirected Graphical Models using Persistent Sequential Monte Carlo ACML 2014 Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models NeurIPS 2013 Conditional Random Fields via Univariate Exponential Families NeurIPS 2013 On Poisson Graphical Models NeurIPS 2013 Continuous Relaxations for Discrete Hamiltonian Monte Carlo NeurIPS 2012 Learning the Dependency Structure of Latent Factors NeurIPS 2012 Graph-Valued Regression NeurIPS 2010 Replicated Softmax: an Undirected Topic Model NeurIPS 2009 A Recursive Method for Structural Learning of Directed Acyclic Graphs JMLR 2008