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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 431–440 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
A Bayesian Method for Joint Clustering of Vectorial Data and Network Data	Oct 24, 2017	Bayesian InferenceClustering	CodeCode Available	0	5
Inverse decision-making using neural amortized Bayesian actors	Sep 4, 2024	AttributeBayesian Inference	CodeCode Available	0	5
Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective	Jun 2, 2024	Bayesian InferenceIn-Context Learning	CodeCode Available	0	5
Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filter	May 29, 2018	Bayesian InferenceSequential Bayesian Inference	CodeCode Available	0	5
Deep Bayesian Structure Networks	Sep 25, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	0	5
Improving Neural Additive Models with Bayesian Principles	May 26, 2023	Additive modelsBayesian Inference	CodeCode Available	0	5
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya	May 31, 2023	Bayesian Inference	CodeCode Available	0	5
Laplace Matching for fast Approximate Inference in Latent Gaussian Models	May 7, 2021	Bayesian InferenceGaussian Processes	CodeCode Available	0	5
Detecting structural perturbations from time series with deep learning	Jun 9, 2020	Bayesian InferenceDeep Learning	CodeCode Available	0	5
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks	Jun 7, 2019	Autonomous DrivingBayesian Inference	CodeCode Available	0	5

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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