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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 1901–1910 of 2226 papers

Title	Date	Tasks	Status	Hype
Analytical Approximation of the ELBO Gradient in the Context of the Clutter Problem	Apr 16, 2024	Bayesian InferenceVariational Inference	CodeCode Available	0
Bayesian Joint Spike-and-Slab Graphical Lasso	May 18, 2018	Bayesian InferenceModel Selection	CodeCode Available	0
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs	Jul 6, 2021	Anomaly DetectionBayesian Inference	CodeCode Available	0
Expectation propagation as a way of life: A framework for Bayesian inference on partitioned data	Dec 16, 2014	Bayesian Inference	CodeCode Available	0
ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition	Jun 8, 2025	Active LearningBayesian Inference	CodeCode Available	0
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective	Jul 22, 2022	Bayesian InferenceNode Classification	CodeCode Available	0
Statistic Selection and MCMC for Differentially Private Bayesian Estimation	Mar 24, 2022	Bayesian Inference	CodeCode Available	0
Variational Bayes on Manifolds	Aug 8, 2019	Bayesian Inference	CodeCode Available	0
Model-based Validation as Probabilistic Inference	May 17, 2023	Bayesian Inferencemodel	CodeCode Available	0
Model Evidence with Fast Tree Based Quadrature	May 22, 2020	Bayesian Inferencemodel	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