probabilistic modeling

Word Familiarity Rate Estimation Using a Bayesian Linear Mixed Model EMNLP 2019 A Bayesian Nonparametric View on Count-Min Sketch NeurIPS 2018 A Compositional Bayesian Semantics for Natural Language COLING 2018 A Deep Generative Model of Vowel Formant Typology NAACL 2018 A New and Flexible Approach to the Analysis of Paired Comparison Data JMLR 2018 Approximate Bayesian Computation with Kullback-Leibler Divergence as Data Discrepancy AISTATS 2018 A Probabilistic Annotation Model for Crowdsourcing Coreference EMNLP 2018 A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks ICML 2018 A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images EMNLP 2018 Authorless Topic Models: Biasing Models Away from Known Structure COLING 2018 Batch Normalized Deep Boltzmann Machines ACML 2018 Bayesian Network Structure Learning with Side Constraints PGM 2018 Binary Classification with Karmic, Threshold-Quasi-Concave Metrics ICML 2018 Computational Models for Spatial Prepositions NAACL 2018 Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop EMNLP 2018 Consistent Estimation given Missing Data PGM 2018 Discriminative Training of Sum-Product Networks by Extended Baum-Welch PGM 2018 Estimators for Multivariate Information Measures in General Probability Spaces NeurIPS 2018 Extracting Morphophonology from Small Corpora EMNLP 2018 Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence NeurIPS 2018 Gaussian Mixture Latent Vector Grammars ACL 2018 Generative Probabilistic Novelty Detection with Adversarial Autoencoders NeurIPS 2018 Heuristically Informed Unsupervised Idiom Usage Recognition EMNLP 2018 HOGWILD!-Gibbs can be PanAccurate NeurIPS 2018 How Deep Are Deep Gaussian Processes? JMLR 2018