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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 441–450 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
Bayesian inference is facilitated by modular neural networks with different time scales	Oct 21, 2022	Bayesian Inference	CodeCode Available	0	5
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya	May 31, 2023	Bayesian Inference	CodeCode Available	0	5
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks	May 30, 2019	Bayesian InferenceMeta-Learning	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
Approximate Bayesian Neural Doppler Imaging	Aug 20, 2021	Bayesian Inference	CodeCode Available	0	5
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes	Apr 10, 2017	Bayesian Inferencecounterfactual	CodeCode Available	0	5
Differentially Private Bayesian Learning on Distributed Data	Mar 3, 2017	Bayesian Inference	CodeCode Available	0	5
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference	Mar 7, 2022	Bayesian InferenceDiagnostic	CodeCode Available	0	5
Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals (BIGMACS): Applications for Paleoceanography	Jul 20, 2019	Bayesian InferenceGPR	CodeCode Available	0	5
Fast and Robust Rank Aggregation against Model Misspecification	May 29, 2019	Bayesian Inferencemodel	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