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Bayesian Inference

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

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 491–500 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
Bayesian Joint Spike-and-Slab Graphical Lasso	May 18, 2018	Bayesian InferenceModel Selection	CodeCode Available	0	5
Are Bayesian neural networks intrinsically good at out-of-distribution detection?	Jul 26, 2021	Bayesian InferenceOut-of-Distribution Detection	CodeCode Available	0	5
Bayesian latent structure discovery from multi-neuron recordings	Oct 26, 2016	Bayesian InferenceClustering	CodeCode Available	0	5
Bayesian Learning-Based Adaptive Control for Safety Critical Systems	Oct 5, 2019	Autonomous VehiclesBayesian 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
Deep Bayesian Structure Networks	Sep 25, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	0	5
Deep Neural Networks as Gaussian Processes	Nov 1, 2017	Bayesian InferenceGaussian Processes	CodeCode Available	0	5
Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning Algorithms	Dec 26, 2019	Bayesian Inference	CodeCode Available	0	5
A generative flow for conditional sampling via optimal transport	Jul 9, 2023	Bayesian InferenceDensity Estimation	CodeCode Available	0	5
Debiased Bayesian inference for average treatment effects	Sep 26, 2019	Bayesian InferenceCausal 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