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Variational Inference

802 papers

Papers per year

3
14
33
100
18
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Papers

Syntactic Topic Models NIPS 2008
Sparse probabilistic projections NIPS 2008
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM NIPS 2008
Variational Mixture of Gaussian Process Experts NIPS 2008
Loop Series and Bethe Variational Bounds in Attractive Graphical Models NIPS 2007
New Outer Bounds on the Marginal Polytope NIPS 2007
Neural characterization in partially observed populations of spiking neurons NIPS 2007
Convex Relaxations of Latent Variable Training NIPS 2007
Variational inference for Markov jump processes NIPS 2007
Variational Inference for Diffusion Processes NIPS 2007
The Generalized FITC Approximation NIPS 2007
Fast Variational Inference for Large-scale Internet Diagnosis NIPS 2007
Collapsed Variational Inference for HDP NIPS 2007
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NIPS 2006
Accelerated Variational Dirichlet Process Mixtures NIPS 2006
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation NIPS 2006
Data Integration for Classification Problems Employing Gaussian Process Priors NIPS 2006
Parameter Expanded Variational Bayesian Methods NIPS 2006
A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems NIPS 2006
Conditional mean field NIPS 2006
Estimating the “Wrong” Graphical Model: Benefits in the Computation-Limited Setting JMLR 2006
Noisy-OR Component Analysis and its Application to Link Analysis JMLR 2006
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems JMLR 2006
Assessing Approximate Inference for Binary Gaussian Process Classification JMLR 2005
Convergence Theorems for Generalized Alternating Minimization Procedures JMLR 2005