Variational Inference

Fast Large-scale Mixture Modeling with Component-specific Data Partitions NeurIPS 2010 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 Particle-based Variational Inference for Continuous Systems NeurIPS 2009 Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing NeurIPS 2009 Bayesian Experimental Design of Magnetic Resonance Imaging Sequences NeurIPS 2008 Bayesian Synchronous Grammar Induction NeurIPS 2008 Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM NeurIPS 2008 Improving on Expectation Propagation NeurIPS 2008 Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NeurIPS 2008 Mixed Membership Stochastic Blockmodels NeurIPS 2008 Collapsed Variational Inference for HDP NeurIPS 2007 Fast Variational Inference for Large-scale Internet Diagnosis NeurIPS 2007 Loop Series and Bethe Variational Bounds in Attractive Graphical Models NeurIPS 2007 Neural characterization in partially observed populations of spiking neurons NeurIPS 2007 New Outer Bounds on the Marginal Polytope NeurIPS 2007 Supervised Topic Models NeurIPS 2007 Variational Inference for Diffusion Processes NeurIPS 2007 Accelerated Variational Dirichlet Process Mixtures NeurIPS 2006 Conditional mean field NeurIPS 2006 Parameter Expanded Variational Bayesian Methods NeurIPS 2006 Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NeurIPS 2006