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Variational Inference

1946 directly classified papers

Papers per year

Papers

Probabilistic Joint Image Segmentation and Labeling NIPS 2011
Variational Learning for Recurrent Spiking Networks NIPS 2011
Online Variational Inference for the Hierarchical Dirichlet Process AISTATS 2011
Select and Sample - A Model of Efficient Neural Inference and Learning NIPS 2011
Approximate Marginals in Latent Gaussian Models JMLR 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
Generalized Beta Mixtures of Gaussians NIPS 2011
Improving posterior marginal approximations in latent Gaussian models AISTATS 2010
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes JMLR 2010
Variational bounds for mixed-data factor analysis NIPS 2010
Variational Inference over Combinatorial Spaces 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
Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development NIPS 2010
Nonparametric Bayesian Matrix Factorization by Power-EP AISTATS 2010
Posterior vs Parameter Sparsity in Latent Variable Models NIPS 2009
A Gaussian Tree Approximation for Integer Least-Squares NIPS 2009
Learning a Small Mixture of Trees NIPS 2009
Particle-based Variational Inference for Continuous Systems NIPS 2009
Variational Inference for the Nested Chinese Restaurant Process NIPS 2009
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units NIPS 2009
A Stochastic approximation method for inference in probabilistic graphical models NIPS 2009