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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 421–430 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
Impression learning: Online representation learning with synaptic plasticity	Dec 1, 2021	Bayesian InferenceRepresentation Learning	CodeCode Available	0	5
Improved Marginal Unbiased Score Expansion (MUSE) via Implicit Differentiation	Sep 21, 2022	Bayesian InferenceProbabilistic Programming	CodeCode Available	0	5
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-up	May 6, 2024	Bayesian InferenceHyperparameter Optimization	CodeCode Available	0	5
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering	Jan 31, 2017	Bayesian InferenceClustering	CodeCode Available	0	5
Deep Bayesian Structure Networks	Sep 25, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	0	5
Inference of a mesoscopic population model from population spike trains	Oct 3, 2019	Bayesian Inference	CodeCode Available	0	5
Bayesian Inference for Structural Vector Autoregressions Identified by Markov-Switching Heteroskedasticity	Nov 20, 2018	Bayesian Inference	CodeCode Available	0	5
Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding	Feb 23, 2024	Bayesian InferenceVariational Inference	CodeCode Available	0	5
Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise	May 31, 2024	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

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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