← Keywords

approximate inference

253 papers

Explore in graph

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

Automated Variational Inference for Gaussian Process Models NIPS 2014
Tree-structured Gaussian Process Approximations NIPS 2014
Extended and Unscented Gaussian Processes NIPS 2014
Fully Simplified Multivariate Normal Updates in Non-Conjugate Variational Message Passing JMLR 2014
Fast Approximate Inference in Higher Order MRF-MAP Labeling Problems CVPR 2014
Effective Bayesian Modeling of Groups of Related Count Time Series ICML 2014
Efficient Inference for Complex Queries on Complex Distributions AISTATS 2014
Structured Prediction of Network Response ICML 2014
Inferning with High Girth Graphical Models ICML 2014
A Deep and Tractable Density Estimator ICML 2014
Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach ICML 2014
Tilted Variational Bayes AISTATS 2014
Stochastic Backpropagation and Approximate Inference in Deep Generative Models ICML 2014
Approximating the Permanent with Fractional Belief Propagation JMLR 2013
Scaling the Indian Buffet Process via Submodular Maximization ICML 2013
Approximate Inference in Collective Graphical Models ICML 2013
Deep Gaussian Processes AISTATS 2013
Collapsed Variational Bayesian Inference for Hidden Markov Models AISTATS 2013
Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood JMLR 2013
Demixing odors - fast inference in olfaction NIPS 2013
On the Complexity and Approximation of Binary Evidence in Lifted Inference NIPS 2013
Approximate Inference in Continuous Determinantal Processes NIPS 2013
Learning to Pass Expectation Propagation Messages NIPS 2013
Approximate Gaussian process inference for the drift function in stochastic differential equations NIPS 2013
Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets CVPR 2013