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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 651–660 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
Data-driven Approach for Interpolation of Sparse Data	May 2, 2025	Bayesian InferenceGaussian Processes	CodeCode Available	0	5
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain	Dec 1, 2021	Bayesian Inferenceregression	CodeCode Available	0	5
Batch Bayesian optimisation via density-ratio estimation with guarantees	Sep 22, 2022	Bayesian InferenceBayesian Optimisation	CodeCode Available	0	5
Combining Model and Parameter Uncertainty in Bayesian Neural Networks	Mar 18, 2019	Bayesian InferenceModel Selection	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
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning	Feb 2, 2025	Bayesian InferenceGraph Representation Learning	CodeCode Available	0	5
Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation	Jul 13, 2017	Bayesian InferenceMissing Values	CodeCode Available	0	5
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL	May 25, 2022	Bayesian InferenceText to SQL	CodeCode Available	0	5
Data Subsampling for Bayesian Neural Networks	Oct 17, 2022	Bayesian InferenceFederated Learning	CodeCode Available	0	5
Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy	Sep 13, 2019	AstronomyBayesian Inference	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