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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 711–720 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
Debiased Bayesian inference for average treatment effects	Sep 26, 2019	Bayesian InferenceCausal Inference	CodeCode Available	0	5
Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks	Sep 6, 2023	Bayesian Inference	CodeCode Available	0	5
A Scalable Laplace Approximation for Neural Networks	Jan 1, 2018	Bayesian Inference	CodeCode Available	0	5
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation	Oct 26, 2023	Bayesian InferenceDecision Making	CodeCode Available	0	5
COVID-19 detection using chest X-rays: is lung segmentation important for generalization?	Apr 12, 2021	Bayesian InferenceGeneral Classification	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
Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference	Jun 15, 2018	Bayesian InferenceGeneral Classification	CodeCode Available	0	5
Analysis of Markov Jump Processes under Terminal Constraints	Oct 20, 2020	Bayesian Inference	CodeCode Available	0	5
Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems	Feb 4, 2021	Bayesian Inferenceparameter estimation	CodeCode Available	0	5
Stein Point Markov Chain Monte Carlo	May 9, 2019	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