variational inference

Switching state space model for simultaneously estimating state transitions and nonstationary firing rates NeurIPS 2010 The Maximal Causes of Natural Scenes are Edge Filters NeurIPS 2010 The Neural Costs of Optimal Control NeurIPS 2010 Variational bounds for mixed-data factor analysis NeurIPS 2010 Variational Inference over Combinatorial Spaces NeurIPS 2010 Variational methods for Reinforcement Learning AISTATS 2010 Variational Relevance Vector Machine for Tabular Data ACML 2010 A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation NeurIPS 2009 A Rate Distortion Approach for Semi-Supervised Conditional Random Fields NeurIPS 2009 A Stochastic approximation method for inference in probabilistic graphical models NeurIPS 2009 From PAC-Bayes Bounds to KL Regularization NeurIPS 2009 Gaussian process regression with Student-t likelihood NeurIPS 2009 Inter-domain Gaussian Processes for Sparse Inference using Inducing Features NeurIPS 2009 Learning a Small Mixture of Trees NeurIPS 2009 Maximum Entropy Discrimination Markov Networks JMLR 2009 Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NeurIPS 2009 Particle-based Variational Inference for Continuous Systems NeurIPS 2009 Perturbation Corrections in Approximate Inference: Mixture Modelling Applications JMLR 2009 Posterior vs Parameter Sparsity in Latent Variable Models NeurIPS 2009 Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing NeurIPS 2009 Variational Gaussian-process factor analysis for modeling spatio-temporal data NeurIPS 2009 Variational Inference for the Nested Chinese Restaurant Process NeurIPS 2009 An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering NeurIPS 2008 Bayesian Experimental Design of Magnetic Resonance Imaging Sequences NeurIPS 2008 Bayesian Kernel Shaping for Learning Control NeurIPS 2008