variational inference

Generalized Random Utility Models with Multiple Types NeurIPS 2013 Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering NeurIPS 2013 GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013 Integrated Non-Factorized Variational Inference NeurIPS 2013 Kernelized Bayesian Matrix Factorization ICML 2013 LDA Topic Model with Soft Assignment of Descriptors to Words ICML 2013 Learning to Pass Expectation Propagation Messages NeurIPS 2013 Memoized Online Variational Inference for Dirichlet Process Mixture Models NeurIPS 2013 Message passing with l1 penalized KL minimization ICML 2013 Mixture of Mutually Exciting Processes for Viral Diffusion ICML 2013 Modeling Overlapping Communities with Node Popularities NeurIPS 2013 Multi-Prediction Deep Boltzmann Machines NeurIPS 2013 Multiscale Dictionary Learning for Estimating Conditional Distributions NeurIPS 2013 Multi-Task Learning with Gaussian Matrix Generalized Inverse Gaussian Model ICML 2013 Nonparametric Mixture of Gaussian Processes with Constraints ICML 2013 Online Latent Dirichlet Allocation with Infinite Vocabulary ICML 2013 Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation NeurIPS 2013 Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking NeurIPS 2013 Parameter Learning and Convergent Inference for Dense Random Fields ICML 2013 Relevance Topic Model for Unstructured Social Group Activity Recognition NeurIPS 2013 Small-Variance Asymptotics for Hidden Markov Models NeurIPS 2013 Smooth Operators ICML 2013 Social Role Discovery in Human Events CVPR 2013 Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NeurIPS 2013 Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables AISTATS 2013