Bayesian Learning

Bayesian Graphical Models for Multivariate Functional Data JMLR 2016 Bayesian group factor analysis with structured sparsity JMLR 2016 Bayesian latent structure discovery from multi-neuron recordings NeurIPS 2016 Bayesian Markov Blanket Estimation AISTATS 2016 Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences PGM 2016 Bayesian Modeling in Speech Motor Control: A Principled Structure for the Integration of Various Constraints Interspeech 2016 Bayesian Networks: a Combined Tuning Heuristic PGM 2016 Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models JMLR 2016 Bayesian Optimization for Probabilistic Programs NeurIPS 2016 Bayesian Optimization with Robust Bayesian Neural Networks NeurIPS 2016 Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations ICML 2016 Bayesian Torrent Classification by File Name and Size Only PGM 2016 BayesPy: Variational Bayesian Inference in Python JMLR 2016 Compressing Bayes Net CPTs with Persistent Leaky Causes PGM 2016 Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making NeurIPS 2016 CRAFT: ClusteR-specific Assorted Feature selecTion AISTATS 2016 Differential Privacy without Sensitivity NeurIPS 2016 Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data ICML 2016 Dual Control for Approximate Bayesian Reinforcement Learning JMLR 2016 Eliciting Categorical Data for Optimal Aggregation NeurIPS 2016 Enumerating Equivalence Classes of Bayesian Networks using EC Graphs AISTATS 2016 Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models NeurIPS 2016 Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations NeurIPS 2016 Gaussian Processes for Survival Analysis NeurIPS 2016 Generalized Ideal Parent (GIP): Discovering non-Gaussian Hidden Variables AISTATS 2016