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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 1351–1360 of 2226 papers

TitleStatusHype
Bayesian neural networks and dimensionality reduction—0
Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems—0
BAT.jl -- A Julia-based tool for Bayesian inference—0
Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes—0
The Exact Asymptotic Form of Bayesian Generalization Error in Latent Dirichlet AllocationCode0
Exploring Variational Deep Q NetworksCode0
Bayesian Inference of Minimally Complex Models with Interactions of Arbitrary OrderCode0
Rule-based Bayesian regressionCode0
Bayesian Inference by Symbolic Model Checking—0
Active pooling design in group testing based on Bayesian posterior prediction—0
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Benchmark Results

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