Bayesian & Probabilistic

A Neural Autoregressive Topic Model NeurIPS 2012 A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function NeurIPS 2012 A nonparametric variable clustering model NeurIPS 2012 A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling NeurIPS 2012 Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation AISTATS 2012 A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models AISTATS 2012 Augment-and-Conquer Negative Binomial Processes NeurIPS 2012 A Unifying Probabilistic Perspective for Spectral Dimensionality Reduction: Insights and New Models JMLR 2012 Bayesian active learning with localized priors for fast receptive field characterization NeurIPS 2012 Bayesian estimation of discrete entropy with mixtures of stick-breaking priors NeurIPS 2012 Bayesian Hierarchical Reinforcement Learning NeurIPS 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 bipartite graphs 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 Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters AISTATS 2012 Bayesian Warped Gaussian Processes NeurIPS 2012 Burn-in, bias, and the rationality of anchoring NeurIPS 2012 Causal Bounds and Observable Constraints for Non-deterministic Models JMLR 2012 Causal discovery with scale-mixture model for spatiotemporal variance dependencies NeurIPS 2012