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Variational Inference

767 directly classified papers

Papers per year

Papers

The Generalized FITC Approximation NIPS 2007
Neural characterization in partially observed populations of spiking neurons NIPS 2007
Collapsed Variational Inference for HDP NIPS 2007
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems JMLR 2006
Estimating the “Wrong” Graphical Model: Benefits in the Computation-Limited Setting JMLR 2006
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
Conditional mean field NIPS 2006
A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems NIPS 2006
Noisy-OR Component Analysis and its Application to Link Analysis JMLR 2006
Assessing Approximate Inference for Binary Gaussian Process Classification JMLR 2005
Convergence Theorems for Generalized Alternating Minimization Procedures JMLR 2005
Expectation Consistent Approximate Inference JMLR 2005
An Approximate Analytical Approach to Resampling Averages JMLR 2003