Graphical Models

Nonparametric graphical model for counts JMLR 2020 On Efficient Adjustment in Causal Graphs JMLR 2020 On Learning Ising Models under Huber's Contamination Model NeurIPS 2020 On Pruning for Score-Based Bayesian Network Structure Learning AISTATS 2020 On the Relationship Between Probabilistic Circuits and Determinantal Point Processes UAI 2020 On the Role of Sparsity and DAG Constraints for Learning Linear DAGs NeurIPS 2020 Parallel AND/OR Search for Marginal MAP AAAI 2020 PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks NeurIPS 2020 Poset Representations for Sets of Elementary Triplets PGM 2020 Provable Overlapping Community Detection in Weighted Graphs NeurIPS 2020 Regularized Gaussian Belief Propagation with Nodes of Arbitrary Size JMLR 2020 Robust Collective Classification against Structural Attacks UAI 2020 Scalable Bayesian Network Structure Learning via Maximum Acyclic Subgraph PGM 2020 Scalable Inference on the Soft Affiliation Graph Model for Overlapping Community Detection ACML 2020 Scikit-network: Graph Analysis in Python JMLR 2020 Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training AACL 2020 Simultaneous Inference for Pairwise Graphical Models with Generalized Score Matching JMLR 2020 SNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based Quantisation AAAI 2020 Statistically Efficient Greedy Equivalence Search UAI 2020 Structured Prediction for Joint Class Cardinality and Entity Property Inference in Model-Complete Text Comprehension EMNLP 2020 Structure Learning for Cyclic Linear Causal Models UAI 2020 Structure Learning from Related Data Sets with a Hierarchical Bayesian Score PGM 2020 Sum-Product Network Decompilation PGM 2020 SVQN: Sequential Variational Soft Q-Learning Networks ICLR 2020 Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference AAAI 2020