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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 1771–1780 of 2226 papers

Title	Date	Tasks	Status	Hype
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference	Mar 7, 2022	Bayesian InferenceDiagnostic	CodeCode Available	0
Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous Data	Jun 20, 2021	Bayesian Inference	CodeCode Available	0
Continual Multi-task Gaussian Processes	Oct 31, 2019	Bayesian InferenceContinual Learning	CodeCode Available	0
Probabilistic Streaming Tensor Decomposition	Dec 31, 2018	Bayesian InferenceTensor Decomposition	CodeCode Available	0
Variational Bayesian inference for linear and logistic regression	Oct 21, 2013	Bayesian Inferenceregression	CodeCode Available	0
Constrained Sampling with Primal-Dual Langevin Monte Carlo	Nov 1, 2024	Bayesian Inferencecounterfactual	CodeCode Available	0
Variational Inference with Mixtures of Isotropic Gaussians	Jun 16, 2025	Bayesian InferenceVariational Inference	CodeCode Available	0
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	May 26, 2022	Bayesian Inferenceparameter estimation	CodeCode Available	0
An embedded segmental K-means model for unsupervised segmentation and clustering of speech	Mar 23, 2017	Bayesian InferenceClustering	CodeCode Available	0
Distilling Importance Sampling for Likelihood Free Inference	Oct 8, 2019	Bayesian InferenceEpidemiology	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