variational inference

Fast Variational Inference in the Conjugate Exponential Family NeurIPS 2012 Fast Variational Mode-Seeking AISTATS 2012 Fully Bayesian inference for neural models with negative-binomial spiking NeurIPS 2012 glm-ie: Generalised Linear Models Inference & Estimation Toolbox JMLR 2012 Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints NeurIPS 2012 How They Vote: Issue-Adjusted Models of Legislative Behavior NeurIPS 2012 Majorization for CRFs and Latent Likelihoods NeurIPS 2012 MedLDA: Maximum Margin Supervised Topic Models JMLR 2012 Meta-Gaussian Information Bottleneck NeurIPS 2012 Minimization of Continuous Bethe Approximations: A Positive Variation NeurIPS 2012 Monte Carlo Methods for Maximum Margin Supervised Topic Models NeurIPS 2012 Multilabel Classification using Bayesian Compressed Sensing NeurIPS 2012 Multimodal Learning with Deep Boltzmann Machines NeurIPS 2012 Multiresolution Gaussian Processes NeurIPS 2012 Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NeurIPS 2012 Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection ACML 2012 On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference RSS 2012 Perfect Dimensionality Recovery by Variational Bayesian PCA NeurIPS 2012 Phoneme Classification using Constrained Variational Gaussian Process Dynamical System NeurIPS 2012 Probabilistic Low-Rank Subspace Clustering NeurIPS 2012 Scalable Inference of Overlapping Communities NeurIPS 2012 Sparse Additive Matrix Factorization for Robust PCA and Its Generalization ACML 2012 The Time-Marginalized Coalescent Prior for Hierarchical Clustering NeurIPS 2012 The variational hierarchical EM algorithm for clustering hidden Markov models NeurIPS 2012 Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NeurIPS 2012