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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 461–470 of 2226 papers

TitleStatusHype
Frequentist Guarantees of Distributed (Non)-Bayesian Inference—0
The Hyperdimensional Transform for Distributional Modelling, Regression and ClassificationCode0
USLR: an open-source tool for unbiased and smooth longitudinal registration of brain MRCode0
The Transient Nature of Emergent In-Context Learning in TransformersCode1
BClean: A Bayesian Data Cleaning SystemCode0
Conditional Optimal Transport on Function SpacesCode0
Operational modal analysis of under-determined system based on Bayesian CP decomposition—0
An Unsupervised Deep Learning Approach for the Wave Equation Inverse Problem—0
Flexible Bayesian Inference on Partially Observed Epidemics—0
Riemannian Laplace Approximation with the Fisher MetricCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1F-SWAAccuracy83.61—Unverified
2F-SWAGAccuracy80.93—Unverified