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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 2131–2140 of 2226 papers

Title	Date	Tasks	Status	Hype
Bayesian inference is facilitated by modular neural networks with different time scales	Oct 21, 2022	Bayesian Inference	CodeCode Available	0
Parallelizing MCMC with Random Partition Trees	Jun 10, 2015	Bayesian Inference	CodeCode Available	0
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy	Dec 16, 2024	Bayesian Inference	CodeCode Available	0
Parallel MCMC Without Embarrassing Failures	Feb 22, 2022	Active LearningBayesian Inference	CodeCode Available	0
Bayesian Inference for Structural Vector Autoregressions Identified by Markov-Switching Heteroskedasticity	Nov 20, 2018	Bayesian Inference	CodeCode Available	0
Improving Quadrature for Constrained Integrands	Feb 13, 2018	Bayesian Inference	CodeCode Available	0
Improving Trust Estimation in Human-Robot Collaboration Using Beta Reputation at Fine-grained Timescales	Nov 4, 2024	Bayesian InferenceBehavioural cloning	CodeCode Available	0
A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms	Nov 8, 2018	Bayesian Inferenceparameter estimation	CodeCode Available	0
Parameter elimination in particle Gibbs sampling	Oct 30, 2019	Bayesian InferenceEpidemiology	CodeCode Available	0
TabPFN: One Model to Rule Them All?	May 26, 2025	AllBayesian 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