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Methodology
← Keywords
approximate inference
253 papers
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Also known as
EM
Co-occurring keywords
variational inference
(2069)
graphical model
(863)
bayesian inference
(1904)
belief propagation
(177)
gaussian process
(1198)
probabilistic inference
(310)
expectation propagation
(86)
message passing
(578)
probabilistic graphical model
(226)
markov chain monte carlo
(724)
Papers
Particle-based Variational Inference for Continuous Systems
NIPS 2009
Gaussian process regression with Student-t likelihood
NIPS 2009
Perturbation Corrections in Approximate Inference: Mixture Modelling Applications
JMLR 2009
Local Rules for Global MAP: When Do They Work ?
NIPS 2009
Improved Moves for Truncated Convex Models
NIPS 2008
Improving on Expectation Propagation
NIPS 2008
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
NIPS 2008
MAS: a multiplicative approximation scheme for probabilistic inference
NIPS 2008
Approximations for Binary Gaussian Process Classification
JMLR 2008
An Analysis of Convex Relaxations for MAP Estimation
NIPS 2007
Agreement-Based Learning
NIPS 2007
Structured Learning with Approximate Inference
NIPS 2007
Local Algorithms for Approximate Inference in Minor-Excluded Graphs
NIPS 2007
Loop Corrections for Approximate Inference on Factor Graphs
JMLR 2007
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
NIPS 2007
TrueSkill Through Time: Revisiting the History of Chess
NIPS 2007
Theoretical Analysis of Heuristic Search Methods for Online POMDPs
NIPS 2007
A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems
NIPS 2006
Efficient Structure Learning of Markov Networks using $L_1$-Regularization
NIPS 2006
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems
JMLR 2006
Learning Nonparametric Models for Probabilistic Imitation
NIPS 2006
Estimating the “Wrong” Graphical Model: Benefits in the Computation-Limited Setting
JMLR 2006
Approximate inference using planar graph decomposition
NIPS 2006
Assessing Approximate Inference for Binary Gaussian Process Classification
JMLR 2005
Expectation Consistent Approximate Inference
JMLR 2005
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