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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 1951–1960 of 2226 papers

Title	Date	Tasks	Status	Hype
Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation	May 23, 2019	Bayesian InferenceData Augmentation	CodeCode Available	0
Revisiting Bayesian Autoencoders with MCMC	Apr 13, 2021	Bayesian InferenceDeep Learning	CodeCode Available	0
Reweighted Expectation Maximization	Jun 13, 2019	Bayesian InferenceDensity Estimation	CodeCode Available	0
Bistable perception, precision and neuromodulation	Dec 19, 2022	Bayesian Inference	CodeCode Available	0
Riemannian Laplace Approximation with the Fisher Metric	Nov 5, 2023	Bayesian InferenceComputational Efficiency	CodeCode Available	0
Bijectors.jl: Flexible transformations for probability distributions	Oct 16, 2019	Bayesian InferenceVariational Inference	CodeCode Available	0
Riemannian Stein Variational Gradient Descent for Bayesian Inference	Nov 30, 2017	Bayesian Inference	CodeCode Available	0
AdvancedHMC.jl: A robust, modular and efficient implementation of advanced HMC algorithms	Oct 16, 2019	Bayesian InferenceBenchmarking	CodeCode Available	0
BAMBI: blind accelerated multimodal Bayesian inference	Oct 13, 2011	Bayesian Inference	CodeCode Available	0
Wasserstein Gaussianization and Efficient Variational Bayes for Robust Bayesian Synthetic Likelihood	May 24, 2023	Bayesian Inference	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