Bayesian Learning

Online Learning With Bayesian Classification Trees CVPR 2016 Regime Aware Learning PGM 2016 Regression Methods Applied to Flight Variables for Situational Awareness Estimation Using Dynamic Bayesian Networks PGM 2016 Scalable Learning of Bayesian Network Classifiers JMLR 2016 Stable Graphical Models JMLR 2016 Student Skill Models in Adaptive Testing PGM 2016 Unifying Topic, Sentiment & Preference in an HDP-Based Rating Regression Model for Online Reviews ACML 2016 Variational Bayes on Monte Carlo Steroids NeurIPS 2016 Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias ACML 2015 Convergence rate of Bayesian tensor estimator and its minimax optimality ICML 2015 Curriculum Learning of Bayesian Network Structures ACML 2015 Decision Boundary for Discrete Bayesian Network Classifiers JMLR 2015 Lifelong Learning with Non-i.i.d. Tasks NeurIPS 2015 Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition CVPR 2015 Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays ICML 2015 Reweighted Laplace Prior Based Hyperspectral Compressive Sensing for Unknown Sparsity CVPR 2015 Streaming Variational Inference for Dirichlet Process Mixtures ACML 2015 Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models NeurIPS 2015 Weight Uncertainty in Neural Network ICML 2015 Analysis of Brain States from Multi-Region LFP Time-Series NeurIPS 2014 Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP NeurIPS 2014 A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process NeurIPS 2014 A reversible infinite HMM using normalised random measures ICML 2014 Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts ICML 2014 Bayesian Nonparametric Poisson Factorization for Recommendation Systems AISTATS 2014