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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 1801–1810 of 2226 papers

Title	Date	Tasks	Status	Hype
Deep Network Regularization via Bayesian Inference of Synaptic Connectivity	Mar 4, 2018	Bayesian InferenceVariational Inference	—Unverified	0
Analysis of Langevin Monte Carlo via convex optimization	Feb 26, 2018	Bayesian Inference	—Unverified	0
Conditionally Independent Multiresolution Gaussian Processes	Feb 25, 2018	Bayesian InferenceGaussian Processes	CodeCode Available	0
BRUNO: A Deep Recurrent Model for Exchangeable Data	Feb 21, 2018	Anomaly DetectionBayesian Inference	CodeCode Available	0
Variational Autoencoders for Collaborative Filtering	Feb 16, 2018	Bayesian InferenceCollaborative Filtering	CodeCode Available	0
Variational Autoencoders for Collaborative Filtering	Feb 16, 2018	Bayesian InferenceCollaborative Filtering	CodeCode Available	1
A Diffusion Approximation Theory of Momentum SGD in Nonconvex Optimization	Feb 14, 2018	Bayesian InferenceDimensionality Reduction	—Unverified	0
Improving Quadrature for Constrained Integrands	Feb 13, 2018	Bayesian Inference	CodeCode Available	0
Bayesian inference for bivariate ranks	Feb 9, 2018	Bayesian InferenceRecommendation Systems	—Unverified	0
Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration	Feb 6, 2018	Bayesian InferenceTask Planning	—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