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Variational Inference

802 papers

Papers per year

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33
100
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Papers

Switching state space model for simultaneously estimating state transitions and nonstationary firing rates NIPS 2010
Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations NIPS 2010
Fast Large-scale Mixture Modeling with Component-specific Data Partitions NIPS 2010
Global Analytic Solution for Variational Bayesian Matrix Factorization NIPS 2010
The Neural Costs of Optimal Control NIPS 2010
Shadow Dirichlet for Restricted Probability Modeling NIPS 2010
Approximate Inference by Compilation to Arithmetic Circuits NIPS 2010
Variational Inference over Combinatorial Spaces NIPS 2010
Approximate inference in continuous time Gaussian-Jump processes NIPS 2010
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels AISTATS 2010
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
Gaussian process regression with Student-t likelihood NIPS 2009
A Stochastic approximation method for inference in probabilistic graphical models 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
Variational Inference for the Nested Chinese Restaurant Process NIPS 2009
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units 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