bayesian inference

Bayesian Group Factor Analysis AISTATS 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 Pedigree Analysis using Measure Factorization NeurIPS 2012 Bayesian Probabilistic Co-Subspace Addition NeurIPS 2012 Bayesian Warped Gaussian Processes NeurIPS 2012 Burn-in, bias, and the rationality of anchoring NeurIPS 2012 Coupling Nonparametric Mixtures via Latent Dirichlet Processes NeurIPS 2012 Dual-Space Analysis of the Sparse Linear Model NeurIPS 2012 Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction 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 Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling AISTATS 2012 Entangled Monte Carlo NeurIPS 2012 EP-GIG Priors and Applications in Bayesian Sparse Learning JMLR 2012 Factorized Asymptotic Bayesian Inference for Mixture Modeling AISTATS 2012 Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression NeurIPS 2012 Fast interior-point inference in high-dimensional sparse, penalized state-space models AISTATS 2012 Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models AISTATS 2012 Fully Bayesian inference for neural models with negative-binomial spiking NeurIPS 2012 Gaussian Processes for time-marked time-series data AISTATS 2012 High-Dimensional Structured Feature Screening Using Binary Markov Random Fields AISTATS 2012 Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints NeurIPS 2012