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approximate inference

253 papers

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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

Survey Propagation beyond Constraint Satisfaction Problems AISTATS 2016
Chained Gaussian Processes AISTATS 2016
Semiparametric Mean Field Variational Bayes: General Principles and Numerical Issues JMLR 2016
Dual Control for Approximate Bayesian Reinforcement Learning JMLR 2016
Deep Gaussian Processes for Regression using Approximate Expectation Propagation ICML 2016
Bidirectional Helmholtz Machines ICML 2016
Synthesis of MCMC and Belief Propagation NIPS 2016
Approximate Inference Using DC Programming For Collective Graphical Models AISTATS 2016
Bethe Learning of Graphical Models via MAP Decoding AISTATS 2016
Adaptive Belief Propagation ICML 2015
Learning with Relaxed Supervision NIPS 2015
Gaussian Process Random Fields NIPS 2015
Learning Fast-Mixing Models for Structured Prediction ICML 2015
A Hybrid Approach for Probabilistic Inference using Random Projections ICML 2015
Message Passing for Collective Graphical Models ICML 2015
Expectation Propagation for Rectified Linear Poisson Regression ACML 2015
Reified Context Models ICML 2015
Coresets for Nonparametric Estimation - the Case of DP-Means ICML 2015
A Filtering Approach to Stochastic Variational Inference NIPS 2014
Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014
Dependent nonparametric trees for dynamic hierarchical clustering NIPS 2014
On Prior Distributions and Approximate Inference for Structured Variables NIPS 2014
Clamping Variables and Approximate Inference NIPS 2014
Making Pairwise Binary Graphical Models Attractive NIPS 2014
Semi-supervised Learning with Deep Generative Models NIPS 2014