Bayesian Inference

Fast Variational Inference in the Conjugate Exponential Family NeurIPS 2012 Fully Bayesian inference for neural models with negative-binomial spiking NeurIPS 2012 Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints NeurIPS 2012 How Prior Probability Influences Decision Making: A Unifying Probabilistic Model NeurIPS 2012 Inference on networks of mixtures for robust robot mapping RSS 2012 Joint Modeling of a Matrix with Associated Text via Latent Binary Features NeurIPS 2012 Learning curves for multi-task Gaussian process regression NeurIPS 2012 Learning with Target Prior NeurIPS 2012 MCMC for continuous-time discrete-state systems NeurIPS 2012 Mixability in Statistical Learning NeurIPS 2012 Monte Carlo Methods for Maximum Margin Supervised Topic Models NeurIPS 2012 Multilabel Classification using Bayesian Compressed Sensing NeurIPS 2012 Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NeurIPS 2012 Nonparanormal Belief Propagation (NPNBP) NeurIPS 2012 Priors for Diversity in Generative Latent Variable Models NeurIPS 2012 Putting Bayes to sleep NeurIPS 2012 Random function priors for exchangeable arrays with applications to graphs and relational data NeurIPS 2012 Random Utility Theory for Social Choice NeurIPS 2012 Rational inference of relative preferences NeurIPS 2012 Slice sampling normalized kernel-weighted completely random measure mixture models NeurIPS 2012 Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making NeurIPS 2012 The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators COLT 2012 Training sparse natural image models with a fast Gibbs sampler of an extended state space NeurIPS 2012 Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NeurIPS 2012 Variational Bayesian Optimization for Runtime Risk-Sensitive Control RSS 2012