Graphical Models

CREDICI: A Java Library for Causal Inference by Credal Networks PGM 2020 Detecting and Tracking Communal Bird Roosts in Weather Radar Data AAAI 2020 Differentiable TAN Structure Learning for Bayesian Network Classifiers PGM 2020 Disentangling Direct and Indirect Interactions in Polytomous Item Response Theory Models IJCAI 2020 DYNOTEARS: Structure Learning from Time-Series Data AISTATS 2020 Efficient Heuristic Search for M-Modes Inference PGM 2020 Efficient Learning of Discrete Graphical Models NeurIPS 2020 EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance Matrices UAI 2020 Energy-based Neural Modelling for Large-Scale Multiple Domain Dialogue State Tracking EMNLP 2020 Entrainment2Vec: Embedding Entrainment for Multi-Party Dialogues AAAI 2020 Error-Correcting and Verifiable Parallel Inference in Graphical Models AAAI 2020 Event-Driven Continuous Time Bayesian Networks AAAI 2020 Exponential Family Graph Embeddings AAAI 2020 Factor Graph Grammars NeurIPS 2020 Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data AAAI 2020 Fast and Deep Graph Neural Networks AAAI 2020 Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel AAAI 2020 From Boltzmann Machines to Neural Networks and Back Again NeurIPS 2020 Generalized Nonbacktracking Bounds on the Influence JMLR 2020 General Purpose MRF Learning with Neural Network Potentials IJCAI 2020 GLAD: Learning Sparse Graph Recovery ICLR 2020 GOBNILP: Learning Bayesian network structure with integer programming PGM 2020 Graphical continuous Lyapunov models UAI 2020 Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models COLT 2020 Hawkesian Graphical Event Models PGM 2020