Bayesian Inference

Monte Carlo Methods for Maximum Margin Supervised Topic Models NeurIPS 2012 Multilabel Classification using Bayesian Compressed Sensing NeurIPS 2012 Multiresolution Gaussian Processes NeurIPS 2012 Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NeurIPS 2012 Nonparanormal Belief Propagation (NPNBP) NeurIPS 2012 On Bayesian Upper Confidence Bounds for Bandit Problems AISTATS 2012 On Estimation and Selection for Topic Models AISTATS 2012 On Lifting the Gibbs Sampling Algorithm NeurIPS 2012 Online Sum-Product Computation Over Trees NeurIPS 2012 On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference RSS 2012 Optimistic Bayesian Sampling in Contextual-Bandit Problems JMLR 2012 Perfect Dimensionality Recovery by Variational Bayesian PCA NeurIPS 2012 Phoneme Classification using Constrained Variational Gaussian Process Dynamical System NeurIPS 2012 Practical Bayesian Optimization of Machine Learning Algorithms NeurIPS 2012 Priors for Diversity in Generative Latent Variable Models NeurIPS 2012 Probabilistic Low-Rank Subspace Clustering 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 Repulsive Mixtures NeurIPS 2012 Scalable Inference of Overlapping Communities NeurIPS 2012 Scalable Inference on Kingman’s Coalescent using Pair Similarity AISTATS 2012 Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization NeurIPS 2012 Semi-Supervised Domain Adaptation with Non-Parametric Copulas NeurIPS 2012 Slice sampling normalized kernel-weighted completely random measure mixture models NeurIPS 2012