Variational Inference

How They Vote: Issue-Adjusted Models of Legislative Behavior NeurIPS 2012 Majorization for CRFs and Latent Likelihoods NeurIPS 2012 Minimization of Continuous Bethe Approximations: A Positive Variation NeurIPS 2012 Multilabel Classification using Bayesian Compressed Sensing NeurIPS 2012 Multiresolution Gaussian Processes NeurIPS 2012 Online Sum-Product Computation Over Trees NeurIPS 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 variational hierarchical EM algorithm for clustering hidden Markov models NeurIPS 2012 Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NeurIPS 2012 Truncation-free Online Variational Inference for Bayesian Nonparametric Models NeurIPS 2012 Variational Bayesian Matching ACML 2012 Variational Inference for Crowdsourcing NeurIPS 2012 An Application of Tree-Structured Expectation Propagation for Channel Decoding NeurIPS 2011 Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models AISTATS 2011 Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks AISTATS 2011 Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference AISTATS 2011 Generalized Beta Mixtures of Gaussians NeurIPS 2011 Learning unbelievable probabilities NeurIPS 2011 Message-Passing for Approximate MAP Inference with Latent Variables NeurIPS 2011 Neural Reconstruction with Approximate Message Passing (NeuRAMP) NeurIPS 2011