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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 571–580 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
A stochastic Stein Variational Newton method	Apr 19, 2022	Bayesian Inference	CodeCode Available	0	5
Being a Bit Frequentist Improves Bayesian Neural Networks	Jun 18, 2021	Bayesian InferenceOut of Distribution (OOD) Detection	CodeCode Available	0	5
Bayesian regression and Bitcoin	Oct 6, 2014	Bayesian InferenceBinary Classification	CodeCode Available	0	5
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure	Nov 22, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	0	5
ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition	Jun 8, 2025	Active LearningBayesian Inference	CodeCode Available	0	5
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference	Mar 10, 2023	Bayesian InferenceDrug Design	CodeCode Available	0	5
Better Peer Grading through Bayesian Inference	Sep 2, 2022	Bayesian Inference	CodeCode Available	0	5
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs	Feb 20, 2019	Bayesian InferencePosition	CodeCode Available	0	5
deBInfer: Bayesian inference for dynamical models of biological systems in R	Oct 15, 2016	Bayesian Inference	CodeCode Available	0	5
Bayesian reconstruction of memories stored in neural networks from their connectivity	May 16, 2021	Bayesian Inference	CodeCode Available	0	5

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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