Probabilistic Modeling

Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting NeurIPS 2017 Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields IJCNLP 2017 COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution JMLR 2017 Coherent Predictive Inference under Exchangeability with Imprecise Probabilities (Extended Abstract) IJCAI 2017 Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data ICML 2017 ConStance: Modeling Annotation Contexts to Improve Stance Classification EMNLP 2017 Convolutional Gaussian Processes NeurIPS 2017 Cross-Spectral Factor Analysis NeurIPS 2017 Deep Dynamic Poisson Factorization Model NeurIPS 2017 Density Estimation in Infinite Dimensional Exponential Families JMLR 2017 Dependency Grammar Induction with Neural Lexicalization and Big Training Data EMNLP 2017 Detecting Perspectives in Political Debates EMNLP 2017 Diachrony-aware Induction of Binary Latent Representations from Typological Features IJCNLP 2017 Discovering Relevance-Dependent Bicluster Structure from Relational Data IJCAI 2017 Dynamic Time-Of-Flight CVPR 2017 EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms NeurIPS 2017 Efficient Inference for Untied MLNs IJCAI 2017 Efficient Weighted Model Integration via SMT-Based Predicate Abstraction IJCAI 2017 Entity Suggestion with Conceptual Expanation IJCAI 2017 ES-LDA: Entity Summarization using Knowledge-based Topic Modeling IJCNLP 2017 Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings EACL 2017 Exact Inference for Integer Latent-Variable Models ICML 2017 Exact MAP Inference by Avoiding Fractional Vertices ICML 2017 Extracting and Understanding Contrastive Opinion through Topic Relevant Sentences IJCNLP 2017 Factorial Modeling for Effective Suppression of Directional Noise Interspeech 2017