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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 1851–1860 of 2226 papers

Title	Date	Tasks	Status	Hype
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model	Dec 16, 2023	Bayesian InferenceDecision Making	CodeCode Available	0
Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball	Aug 24, 2021	Bayesian InferenceUncertainty Quantification	CodeCode Available	0
ELBOing Stein: Variational Bayes with Stein Mixture Inference	Oct 30, 2024	Bayesian Inference	CodeCode Available	0
Electricity Spot Prices Forecasting Using Stochastic Volatility Models	Jun 9, 2024	Bayesian InferenceTime Series	CodeCode Available	0
Electrostatics-based particle sampling and approximate inference	Jun 28, 2024	Bayesian Inference	CodeCode Available	0
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks	Dec 16, 2021	Bayesian InferenceDecision Making	CodeCode Available	0
Measuring diachronic sense change: new models and Monte Carlo methods for Bayesian inference	Apr 14, 2021	Bayesian Inference	CodeCode Available	0
Quantifying cell cycle regulation by tissue crowding	Jan 16, 2024	Bayesian Inference	CodeCode Available	0
Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems	Feb 4, 2021	Bayesian Inferenceparameter estimation	CodeCode Available	0
Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation	Jul 13, 2017	Bayesian InferenceMissing Values	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