Bayesian Learning

Bayesian Dyadic Trees and Histograms for Regression NeurIPS 2017 Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction CoRL 2017 Bayesian Learning of Dynamic Multilayer Networks JMLR 2017 Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets and Complexity (Extended Abstract) IJCAI 2017 Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking IJCAI 2017 Compressed Nonparametric Language Modelling IJCAI 2017 Discriminative Bayesian Nonparametric Clustering IJCAI 2017 Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models NeurIPS 2017 Latent Feature Lasso ICML 2017 Learning Topic-Sensitive Word Representations ACL 2017 No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously IJCAI 2017 Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel IJCAI 2017 Refinery: An Open Source Topic Modeling Web Platform JMLR 2017 Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling ACL 2017 A Bayesian Nonparametric Approach for Multi-label Classification ACML 2016 A Genetic Algorithm for Learning Parameters in Bayesian Networks using Expectation Maximization PGM 2016 An Empirical-Bayes Score for Discrete Bayesian Networks PGM 2016 Bayesian group factor analysis with structured sparsity JMLR 2016 Bayesian Networks: a Combined Tuning Heuristic PGM 2016 Coresets for Scalable Bayesian Logistic Regression NeurIPS 2016 Improving Structure MCMC for Bayesian Networks through Markov Blanket Resampling JMLR 2016 Learning Tractable Multidimensional Bayesian Network Classifiers PGM 2016 Multiple Kernel Learning with Data Augmentation ACML 2016 Multiple Output Regression with Latent Noise JMLR 2016 Nonparametric Network Models for Link Prediction JMLR 2016