Bayesian Inference

Affine Independent Variational Inference NeurIPS 2012 A Marginalized Particle Gaussian Process Regression NeurIPS 2012 Ancestor Sampling for Particle Gibbs NeurIPS 2012 A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function NeurIPS 2012 Augment-and-Conquer Negative Binomial Processes NeurIPS 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 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 Burn-in, bias, and the rationality of anchoring NeurIPS 2012 Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models NeurIPS 2012 Continuous Relaxations for Discrete Hamiltonian Monte Carlo NeurIPS 2012 Coupling Nonparametric Mixtures via Latent Dirichlet Processes NeurIPS 2012 Dual-Space Analysis of the Sparse Linear Model NeurIPS 2012 Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data NeurIPS 2012 Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NeurIPS 2012 Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference NeurIPS 2012 Entangled Monte Carlo NeurIPS 2012 Exponential Concentration for Mutual Information Estimation with Application to Forests NeurIPS 2012 Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression NeurIPS 2012