Probabilistic Modeling

Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem NeurIPS 2018 Leveraging Latent Label Distributions for Partial Label Learning IJCAI 2018 Lifted Weighted Mini-Bucket NeurIPS 2018 Making Continuous Time Bayesian Networks More Flexible PGM 2018 Mallows Models for Top-k Lists NeurIPS 2018 Markov Random Field MAP as Set Partitioning PGM 2018 Mental Sampling in Multimodal Representations NeurIPS 2018 Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse NAACL 2018 Mixed Membership Word Embeddings for Computational Social Science AISTATS 2018 Model-based targeted dimensionality reduction for neuronal population data NeurIPS 2018 Modeling Dynamic Missingness of Implicit Feedback for Recommendation NeurIPS 2018 Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data NeurIPS 2018 Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses NAACL 2018 Named Entity Recognition on Code-Switched Data Using Conditional Random Fields ACL 2018 Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes NeurIPS 2018 Neural Hidden Markov Model for Machine Translation ACL 2018 Neural Storyline Extraction Model for Storyline Generation from News Articles NAACL 2018 Nonparametric Density Estimation under Adversarial Losses NeurIPS 2018 On Hapax Legomena and Morphological Productivity EMNLP 2018 Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks NeurIPS 2018 On Semiparametric Exponential Family Graphical Models JMLR 2018 Overlapping Clustering Models, and One (class) SVM to Bind Them All NeurIPS 2018 Parallel Probabilistic Inference by Weighted Model Counting PGM 2018 Parameterised Queries and Lifted Query Answering IJCAI 2018 PhraseCTM: Correlated Topic Modeling on Phrases within Markov Random Fields ACL 2018