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Variational Inference

767 directly classified papers

Papers per year

Papers

Improving posterior marginal approximations in latent Gaussian models AISTATS 2010
Nonparametric Bayesian Matrix Factorization by Power-EP AISTATS 2010
Variational methods for Reinforcement Learning AISTATS 2010
Bayesian Gaussian Process Latent Variable Model AISTATS 2010
The Neural Costs of Optimal Control NIPS 2010
Gaussian process regression with Student-t likelihood NIPS 2009
Variational Inference for the Nested Chinese Restaurant Process NIPS 2009
Variational Gaussian-process factor analysis for modeling spatio-temporal data NIPS 2009
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features NIPS 2009
Particle-based Variational Inference for Continuous Systems NIPS 2009
Posterior vs Parameter Sparsity in Latent Variable Models 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
Evaluating probabilities under high-dimensional latent variable models NIPS 2008
Gates NIPS 2008
Using Bayesian Dynamical Systems for Motion Template Libraries NIPS 2008
Syntactic Topic Models NIPS 2008
Variational Mixture of Gaussian Process Experts NIPS 2008
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM NIPS 2008
Sparse probabilistic projections NIPS 2008
Convex Relaxations of Latent Variable Training NIPS 2007
Fast Variational Inference for Large-scale Internet Diagnosis NIPS 2007
Loop Series and Bethe Variational Bounds in Attractive Graphical Models NIPS 2007
Variational inference for Markov jump processes NIPS 2007
Variational Inference for Diffusion Processes NIPS 2007