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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 701–710 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
Accelerated MM Algorithms for Ranking Scores Inference from Comparison Data	Jan 1, 2019	Bayesian Inference	CodeCode Available	0	5
A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning	Jun 16, 2023	Bayesian InferenceMeta-Learning	CodeCode Available	0	5
Data Subsampling for Bayesian Neural Networks	Oct 17, 2022	Bayesian InferenceFederated Learning	CodeCode Available	0	5
Deep Bayesian Structure Networks	Sep 25, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	0	5
Adaptive Gaussian process approximation for Bayesian inference with expensive likelihood functions	Mar 29, 2017	Active LearningBayesian Inference	CodeCode Available	0	5
On the relationship between a Gamma distributed precision parameter and the associated standard deviation in the context of Bayesian parameter inference	Jan 15, 2021	Bayesian Inference	CodeCode Available	0	5
Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study	Feb 2, 2021	Bayesian InferenceVariational Inference	CodeCode Available	0	5
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework	Jan 31, 2022	Bayesian InferenceMulti-Armed Bandits	CodeCode Available	0	5
Bayesian Conditional Density Filtering	Jan 15, 2014	Bayesian Inference	CodeCode Available	0	5
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data	Dec 3, 2015	Bayesian InferenceCommon Sense Reasoning	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