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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 1071–1080 of 2226 papers

Title	Date	Tasks	Status	Hype
AutoEKF: Scalable System Identification for COVID-19 Forecasting from Large-Scale GPS Data	Jun 28, 2021	Bayesian Inference	—Unverified	0
Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal Stochastic Linear Mixing Model	Jun 25, 2021	Bayesian InferenceGaussian Processes	—Unverified	0
Bayesian Eye Tracking	Jun 25, 2021	Bayesian InferenceGaze Estimation	—Unverified	0
Bayesian Neural Networks: Essentials	Jun 22, 2021	Bayesian InferenceProbabilistic Deep Learning	—Unverified	0
Repulsive Deep Ensembles are Bayesian	Jun 22, 2021	Bayesian InferenceDiversity	CodeCode Available	1
Dangers of Bayesian Model Averaging under Covariate Shift	Jun 22, 2021	Bayesian Inferencemodel	CodeCode Available	1
Local convexity of the TAP free energy and AMP convergence for Z2-synchronization	Jun 21, 2021	Bayesian InferenceVariational Inference	—Unverified	0
Variational multiple shooting for Bayesian ODEs with Gaussian processes	Jun 21, 2021	Bayesian InferenceGaussian Processes	CodeCode Available	1
Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous Data	Jun 20, 2021	Bayesian Inference	CodeCode Available	0
Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces	Jun 19, 2021	Bayesian InferenceOut-of-Distribution Detection	CodeCode Available	1

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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