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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 2021–2030 of 2226 papers

Title	Date	Tasks	Status	Hype
Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphs	Mar 5, 2021	Bayesian InferenceGeneral Classification	CodeCode Available	0
Bayesian score calibration for approximate models	Nov 10, 2022	Bayesian Inferencescoring rule	CodeCode Available	0
A Bayesian Monte Carlo approach for predicting the spread of infectious diseases	Apr 26, 2019	Bayesian InferenceDisease Prediction	CodeCode Available	0
Bayesian Robust Aggregation for Federated Learning	May 5, 2025	Bayesian InferenceFederated Learning	CodeCode Available	0
Rule-based Bayesian regression	Aug 2, 2020	Bayesian Inferenceregression	CodeCode Available	0
Rule-based Evolutionary Bayesian Learning	Feb 28, 2022	Bayesian InferenceUncertainty Quantification	CodeCode Available	0
A digital twin framework for civil engineering structures	Aug 2, 2023	Bayesian InferenceCantilever Beam	CodeCode Available	0
Greedy inference with structure-exploiting lazy maps	May 31, 2019	Bayesian Inference	CodeCode Available	0
Gaussian Process Priors for Dynamic Paired Comparison Modelling	Feb 20, 2019	Bayesian InferenceBayesian Optimisation	CodeCode Available	0
Bayesian regression and Bitcoin	Oct 6, 2014	Bayesian InferenceBinary Classification	CodeCode Available	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