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Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2201–2210 of 2226 papers

Title	Date	Tasks	Status	Hype
Kernel Bayes' Rule	Dec 1, 2011	Bayesian Inference	—Unverified	0
Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning	Dec 1, 2011	Bayesian InferenceCollaborative Filtering	—Unverified	0
BAMBI: blind accelerated multimodal Bayesian inference	Oct 13, 2011	Bayesian Inference	CodeCode Available	0
Copula Processes	Dec 1, 2010	Bayesian Inference	—Unverified	0
A rational decision making framework for inhibitory control	Dec 1, 2010	Bayesian InferenceDecision Making	—Unverified	0
Tree-Structured Stick Breaking for Hierarchical Data	Dec 1, 2010	Bayesian InferenceClustering	—Unverified	0
Global seismic monitoring as probabilistic inference	Dec 1, 2010	Bayesian Inference	—Unverified	0
Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling	Dec 1, 2009	Bayesian Inference	—Unverified	0
Learning with Compressible Priors	Dec 1, 2009	Bayesian Inference	—Unverified	0
Localizing Bugs in Program Executions with Graphical Models	Dec 1, 2009	Bayesian Inference	—Unverified	0

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	F-SWA	Accuracy	83.61	—	Unverified
2	F-SWAG	Accuracy	80.93	—	Unverified