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Variational Inference

1,952 papers

Papers per year

2
9
31
252
103
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Papers

Bayesian Warped Gaussian Processes NIPS 2012
Affine Independent Variational Inference NIPS 2012
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression NIPS 2012
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models AISTATS 2012
Variational Learning for Recurrent Spiking Networks NIPS 2011
Non-conjugate Variational Message Passing for Multinomial and Binary Regression NIPS 2011
Practical Variational Inference for Neural Networks NIPS 2011
t-divergence Based Approximate Inference NIPS 2011
Select and Sample - A Model of Efficient Neural Inference and Learning NIPS 2011
Generalized Beta Mixtures of Gaussians NIPS 2011
Variational Gaussian Process Dynamical Systems NIPS 2011
Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent NIPS 2011
Probabilistic Joint Image Segmentation and Labeling NIPS 2011
Online Variational Inference for the Hierarchical Dirichlet Process AISTATS 2011
Approximate Marginals in Latent Gaussian Models JMLR 2011
Variational bounds for mixed-data factor analysis NIPS 2010
Group Sparse Coding with a Laplacian Scale Mixture Prior NIPS 2010
Global Analytic Solution for Variational Bayesian Matrix Factorization NIPS 2010
Approximate Inference by Compilation to Arithmetic Circuits NIPS 2010
Variational Inference over Combinatorial Spaces NIPS 2010
Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development NIPS 2010
Improving posterior marginal approximations in latent Gaussian models AISTATS 2010
Nonparametric Bayesian Matrix Factorization by Power-EP AISTATS 2010
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes JMLR 2010
A Stochastic approximation method for inference in probabilistic graphical models NIPS 2009