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Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

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Showing 191–200 of 2226 papers

Title	Date	Tasks	Status	Hype
Efficient Online Bayesian Inference for Neural Bandits	Dec 1, 2021	Bayesian InferenceRecommendation Systems	CodeCode Available	1
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference	Apr 21, 2023	Bayesian InferenceDenoising	CodeCode Available	1
A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection area	May 12, 2021	Bayesian InferenceExperimental Design	CodeCode Available	1
Validated Variational Inference via Practical Posterior Error Bounds	Oct 9, 2019	Bayesian InferenceVariational Inference	CodeCode Available	1
Probabilistic Autoencoder	Jun 9, 2020	Bayesian InferenceDenoising	CodeCode Available	1
Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations	Oct 22, 2021	Bayesian Inference	CodeCode Available	1
Projected Stein Variational Gradient Descent	Feb 9, 2020	Bayesian Inference	CodeCode Available	1
Pick-and-Mix Information Operators for Probabilistic ODE Solvers	Oct 20, 2021	Bayesian Inference	CodeCode Available	1
Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging	Apr 26, 2021	Bayesian Inferenceregression	CodeCode Available	1
πVAE: a stochastic process prior for Bayesian deep learning with MCMC	Feb 17, 2020	Bayesian InferenceComputational Efficiency	CodeCode Available	1

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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