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Variational Inference

1946 directly classified papers

Papers per year

Papers

Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units NIPS 2009
Evaluating probabilities under high-dimensional latent variable models NIPS 2008
Variational Mixture of Gaussian Process Experts NIPS 2008
Sparse probabilistic projections NIPS 2008
Gates NIPS 2008
Variational inference for Markov jump processes NIPS 2007
The Infinite Gamma-Poisson Feature Model NIPS 2007
Collapsed Variational Inference for HDP NIPS 2007
Loop Series and Bethe Variational Bounds in Attractive Graphical Models NIPS 2007
Variational Inference for Diffusion Processes NIPS 2007
Neural characterization in partially observed populations of spiking neurons NIPS 2007
Building Blocks for Variational Bayesian Learning of Latent Variable Models JMLR 2007
Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation JMLR 2006
Particle Filtering for Nonparametric Bayesian Matrix Factorization NIPS 2006
Accelerated Variational Dirichlet Process Mixtures NIPS 2006
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation NIPS 2006
Parameter Expanded Variational Bayesian Methods NIPS 2006
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NIPS 2006
Modeling Dyadic Data with Binary Latent Factors NIPS 2006
Denoising Source Separation JMLR 2005
Variational Message Passing JMLR 2005