bayesian inference

Model Selection: Beyond the Bayesian/Frequentist Divide JMLR 2010 Multi-Task Learning using Generalized t Process AISTATS 2010 Nonparametric prior for adaptive sparsity AISTATS 2010 Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets NeurIPS 2010 Posterior distributions are computable from predictive distributions AISTATS 2010 Probabilistic Inference and Differential Privacy NeurIPS 2010 Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries AISTATS 2010 Sequential Monte Carlo Samplers for Dirichlet Process Mixtures AISTATS 2010 Simple Exponential Family PCA AISTATS 2010 Slice sampling covariance hyperparameters of latent Gaussian models NeurIPS 2010 Switching state space model for simultaneously estimating state transitions and nonstationary firing rates NeurIPS 2010 Tree-Structured Stick Breaking for Hierarchical Data NeurIPS 2010 A Bayesian Analysis of Dynamics in Free Recall NeurIPS 2009 A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation NeurIPS 2009 Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models NeurIPS 2009 Adaptive Design Optimization in Experiments with People NeurIPS 2009 An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity JMLR 2009 A Neural Implementation of the Kalman Filter NeurIPS 2009 A Parameter-Free Classification Method for Large Scale Learning JMLR 2009 Bayesian Belief Polarization NeurIPS 2009 Bayesian estimation of orientation preference maps NeurIPS 2009 Bayesian Source Localization with the Multivariate Laplace Prior NeurIPS 2009 Bayesian Sparse Factor Models and DAGs Inference and Comparison NeurIPS 2009 Construction of Nonparametric Bayesian Models from Parametric Bayes Equations NeurIPS 2009 Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process NeurIPS 2009