variational inference

Continuously-adaptive discretization for message-passing algorithms NeurIPS 2008 Correlated Bigram LSA for Unsupervised Language Model Adaptation NeurIPS 2008 Differentiable Sparse Coding NeurIPS 2008 Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction JMLR 2008 Evaluating probabilities under high-dimensional latent variable models NeurIPS 2008 Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM NeurIPS 2008 Gates NeurIPS 2008 Improving on Expectation Propagation NeurIPS 2008 Mixed Membership Stochastic Blockmodels NeurIPS 2008 Mixed Membership Stochastic Blockmodels JMLR 2008 Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation NeurIPS 2008 Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes NeurIPS 2008 Sparse probabilistic projections NeurIPS 2008 Syntactic Topic Models NeurIPS 2008 Using Bayesian Dynamical Systems for Motion Template Libraries NeurIPS 2008 Variational Mixture of Gaussian Process Experts NeurIPS 2008 Building Blocks for Variational Bayesian Learning of Latent Variable Models JMLR 2007 Distributed Inference for Latent Dirichlet Allocation NeurIPS 2007 Fast Variational Inference for Large-scale Internet Diagnosis NeurIPS 2007 Loop Series and Bethe Variational Bounds in Attractive Graphical Models NeurIPS 2007 Multi-Task Learning for Classification with Dirichlet Process Priors JMLR 2007 Neural characterization in partially observed populations of spiking neurons NeurIPS 2007 New Outer Bounds on the Marginal Polytope NeurIPS 2007 Predictive Matrix-Variate t Models NeurIPS 2007 Robust Regression with Twinned Gaussian Processes NeurIPS 2007