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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 1761–1770 of 2226 papers

Title	Date	Tasks	Status	Hype
Differentially Private Distributed Bayesian Linear Regression with MCMC	Jan 31, 2023	Bayesian InferencePrivacy Preserving	CodeCode Available	0
Differentially Private Federated Variational Inference	Nov 24, 2019	Bayesian InferenceFederated Learning	CodeCode Available	0
The Hyperdimensional Transform for Distributional Modelling, Regression and Classification	Nov 14, 2023	Bayesian InferenceClassification	CodeCode Available	0
Correcting Predictions for Approximate Bayesian Inference	Sep 11, 2019	Bayesian InferenceDecision Making	CodeCode Available	0
Pairwise Comparisons with Flexible Time-Dynamics	Mar 18, 2019	Bayesian InferenceGaussian Processes	CodeCode Available	0
Coresets for Scalable Bayesian Logistic Regression	May 20, 2016	Bayesian Inferenceregression	CodeCode Available	0
Accelerated MM Algorithms for Ranking Scores Inference from Comparison Data	Jan 1, 2019	Bayesian Inference	CodeCode Available	0
The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models	Feb 4, 2014	Bayesian Inference	CodeCode Available	0
Bayesian posterior repartitioning for nested sampling	Aug 13, 2019	Bayesian InferenceUnity	CodeCode Available	0
Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study	Feb 2, 2021	Bayesian InferenceVariational Inference	CodeCode Available	0

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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