Bayesian Inference

An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling AISTATS 2012 Ancestor Sampling for Particle Gibbs NeurIPS 2012 A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views AISTATS 2012 A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function NeurIPS 2012 A nonparametric variable clustering model NeurIPS 2012 A Polynomial-time Form of Robust Regression NeurIPS 2012 Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning NeurIPS 2012 Approximating Equilibria in Sequential Auctions with Incomplete Information and Multi-Unit Demand NeurIPS 2012 Assessing Blinding in Clinical Trials NeurIPS 2012 A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models AISTATS 2012 A Topic Modeling Toolbox Using Belief Propagation JMLR 2012 Augment-and-Conquer Negative Binomial Processes NeurIPS 2012 Bayesian active learning with localized priors for fast receptive field characterization NeurIPS 2012 Bayesian Classifier Combination AISTATS 2012 Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets AISTATS 2012 Bayesian estimation of discrete entropy with mixtures of stick-breaking priors NeurIPS 2012 Bayesian Group Factor Analysis AISTATS 2012 Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach AISTATS 2012 Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets JMLR 2012 Bayesian models for Large-scale Hierarchical Classification NeurIPS 2012 Bayesian Nonparametric Modeling of Suicide Attempts NeurIPS 2012 Bayesian nonparametric models for ranked data NeurIPS 2012 Bayesian Pedigree Analysis using Measure Factorization NeurIPS 2012 Bayesian Probabilistic Co-Subspace Addition NeurIPS 2012 Bayesian Quadrature for Ratios AISTATS 2012