Probabilistic Modeling

Flexible Prior Elicitation via the Prior Predictive Distribution UAI 2020 Flow Contrastive Estimation of Energy-Based Models CVPR 2020 Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel AAAI 2020 From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models ICML 2020 From Support Propagation to Belief Propagation in Constraint Programming (Extended Abstract) IJCAI 2020 Gaussian Sum-Product Networks Learning in the Presence of Interval Censored Data PGM 2020 Generalised Bayesian Filtering via Sequential Monte Carlo NeurIPS 2020 Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs NeurIPS 2020 Generalized probabilistic principal component analysis of correlated data JMLR 2020 General Purpose MRF Learning with Neural Network Potentials IJCAI 2020 Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection AAAI 2020 Grounded PCFG Induction with Images AACL 2020 Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models COLT 2020 HARK: Harshness-Aware Sentiment Analysis Framework for Product Review (Student Abstract) AAAI 2020 Hawkesian Graphical Event Models PGM 2020 Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation L4DC 2020 Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces PGM 2020 High-dimensional Gaussian graphical models on network-linked data JMLR 2020 High-Dimensional Inference for Cluster-Based Graphical Models JMLR 2020 How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines IJCAI 2020 Identifiability and Consistency of Bayesian Network Structure Learning from Incomplete Data PGM 2020 Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space JMLR 2020 Improving Local Identifiability in Probabilistic Box Embeddings NeurIPS 2020 Imputing typological values via phylogenetic inference EMNLP 2020 Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations AAAI 2020