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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

A Bayesian Approximation Method for Online Ranking JMLR 2011
Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference AISTATS 2011
Faster Algorithms for Max-Product Message-Passing JMLR 2011
Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure AISTATS 2011
Switch-Reset Models : Exact and Approximate Inference AISTATS 2011
A conditional game for comparing approximations AISTATS 2011
Convergent Decomposition Solvers for Tree-reweighted Free Energies AISTATS 2011
A Study of Approximate Inference in Probabilistic Relational Models ACML 2010
Approximate parameter inference in a stochastic reaction-diffusion model AISTATS 2010
Focused Belief Propagation for Query-Specific Inference AISTATS 2010
libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models JMLR 2010
Importance Sampling for Continuous Time Bayesian Networks JMLR 2010
FastInf: An Efficient Approximate Inference Library JMLR 2010
Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms AISTATS 2010
Why are DBNs sparse? AISTATS 2010
An Approximate Inference Approach to Temporal Optimization in Optimal Control NIPS 2010
Variational Inference over Combinatorial Spaces NIPS 2010
Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting NIPS 2010
Approximate Inference by Compilation to Arithmetic Circuits NIPS 2010
Sidestepping Intractable Inference with Structured Ensemble Cascades NIPS 2010
Approximate inference in continuous time Gaussian-Jump processes NIPS 2010
Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation JMLR 2010
Efficient Learning of Deep Boltzmann Machines AISTATS 2010
Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model NIPS 2009
Approximating MAP by Compensating for Structural Relaxations NIPS 2009