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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 361–370 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling	Aug 18, 2023	Bayesian InferenceImage Deconvolution	CodeCode Available	0	5
Bayesian adaptive and interpretable functional regression for exposure profiles	Mar 1, 2022	Bayesian Inferenceregression	CodeCode Available	0	5
DPER: Dynamic Programming for Exist-Random Stochastic SAT	May 19, 2022	Bayesian InferenceFairness	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
Deep Neural Networks as Gaussian Processes	Nov 1, 2017	Bayesian InferenceGaussian Processes	CodeCode Available	0	5
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks	Jun 7, 2019	Autonomous DrivingBayesian Inference	CodeCode Available	0	5
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-up	May 6, 2024	Bayesian InferenceHyperparameter Optimization	CodeCode Available	0	5
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya	May 31, 2023	Bayesian Inference	CodeCode Available	0	5
Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systems	Apr 5, 2022	Bayesian Inference	CodeCode Available	0	5
Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning Algorithms	Dec 26, 2019	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