SOTAVerified

Bayesian Inference

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

Papers

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Showing 2201–2210 of 2226 papers

TitleStatusHype
Kernel Bayes' Rule—0
Infinite Latent SVM for Classification and Multi-task Learning—0
BAMBI: blind accelerated multimodal Bayesian inferenceCode0
Tree-Structured Stick Breaking for Hierarchical Data—0
Copula Processes—0
A rational decision making framework for inhibitory control—0
Global seismic monitoring as probabilistic inference—0
A Bayesian Analysis of Dynamics in Free Recall—0
A Neural Implementation of the Kalman Filter—0
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations—0
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Benchmark Results

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