Graphical Models

Learning a High-dimensional Linear Structural Equation Model via l1-Regularized Regression JMLR 2021 Learning latent causal graphs via mixture oracles NeurIPS 2021 Learning Maximum Margin Markov Networks from examples with missing labels ACML 2021 Learning partial correlation graphs and graphical models by covariance queries JMLR 2021 Learning to Sample from Censored Markov Random Fields COLT 2021 Maximal Clique Based Non-Autoregressive Open Information Extraction EMNLP 2021 Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm NeurIPS 2021 Nonparametric Modeling of Higher-Order Interactions via Hypergraphons JMLR 2021 On the Power of Edge Independent Graph Models NeurIPS 2021 Ordinal Historical Dependence in Graphical Event Models with Tree Representations AAAI 2021 Outlier-Robust Learning of Ising Models Under Dobrushin’s Condition COLT 2021 Partition and Code: learning how to compress graphs NeurIPS 2021 Predictive Learning on Hidden Tree-Structured Ising Models JMLR 2021 Probabilistic, Structure-Aware Algorithms for Improved Variety, Accuracy, and Coverage of AMR Alignments ACL 2021 Quantifying Variational Approximation for Log-Partition Function COLT 2021 Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables AAAI 2021 Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models AAAI 2021 Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks AAAI 2021 SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples ICML 2021 SG-PALM: a Fast Physically Interpretable Tensor Graphical Model ICML 2021 Simultaneous Change Point Inference and Structure Recovery for High Dimensional Gaussian Graphical Models JMLR 2021 Stochastic block model entropy and broadcasting on trees with survey COLT 2021 Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families NeurIPS 2021 Structure Learning of Undirected Graphical Models for Count Data JMLR 2021 The Flipped Classroom model for teaching Conditional Random Fields in an NLP course NAACL 2021