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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 1251–1260 of 2226 papers

TitleStatusHype
Black-box density function estimation using recursive partitioningCode0
Bayesian Importance of Features (BIF)Code0
Bayesian Inference in Physics-Driven Problems with Adversarial Priors—0
From the Expectation Maximisation Algorithm to Autoencoded Variational Bayes—0
Spike and slab variational Bayes for high dimensional logistic regression—0
Analysis of Markov Jump Processes under Terminal ConstraintsCode0
Quantification of Ebola virus replication kinetics in vitro—0
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference—0
Bayesian Inference for Optimal Transport with Stochastic Cost—0
Fundamental Linear Algebra Problem of Gaussian Inference—0
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Benchmark Results

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