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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 411–420 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk	May 21, 2019	Bayesian InferenceBenchmarking	CodeCode Available	0	5
Bayesian Inference Forgetting	Jan 16, 2021	Bayesian InferenceVariational Inference	CodeCode Available	0	5
Generalised Bayesian Inference for Discrete Intractable Likelihood	Jun 16, 2022	Bayesian Inference	CodeCode Available	0	5
Generalized Posteriors in Approximate Bayesian Computation	Nov 17, 2020	Bayesian Inference	CodeCode Available	0	5
Deep Neural Networks as Gaussian Processes	Nov 1, 2017	Bayesian InferenceGaussian Processes	CodeCode Available	0	5
Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active Inference	Sep 30, 2024	Bayesian InferenceContinual Learning	CodeCode Available	0	5
Deep Bayesian Structure Networks	Sep 25, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	0	5
Extended molt phenology models improve inferences about molt duration and timing	May 24, 2022	Bayesian Inference	CodeCode Available	0	5
A digital twin framework for civil engineering structures	Aug 2, 2023	Bayesian InferenceCantilever Beam	CodeCode Available	0	5
Bandit Learning with Implicit Feedback	Dec 1, 2018	Bayesian InferenceThompson Sampling	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