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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 2011–2020 of 2226 papers

Title	Date	Tasks	Status	Hype
Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization	Dec 3, 2015	Bayesian InferenceCollaborative Filtering	CodeCode Available	0
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data	Dec 3, 2015	Bayesian InferenceCommon Sense Reasoning	CodeCode Available	0
The Population Posterior and Bayesian Modeling on Streams	Dec 1, 2015	Bayesian Inference	—Unverified	0
Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation	Dec 1, 2015	Bayesian Inference	—Unverified	0
Bidirectional Recurrent Neural Networks as Generative Models	Dec 1, 2015	Bayesian InferenceTime Series	—Unverified	0
Max-Margin Majority Voting for Learning from Crowds	Dec 1, 2015	Bayesian Inference	—Unverified	0
Multi-Class Multi-Annotator Active Learning With Robust Gaussian Process for Visual Recognition	Dec 1, 2015	Active LearningBayesian Inference	—Unverified	0
Bayesian inference via rejection filtering	Nov 20, 2015	Bayesian InferenceGeneral Classification	—Unverified	0
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection	Nov 19, 2015	Bayesian InferenceFraud Detection	—Unverified	0
Accelerating pseudo-marginal Metropolis-Hastings by correlating auxiliary variables	Nov 17, 2015	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