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 301–325 of 2226 papers

Title	Date	Tasks	Status	Score
Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning Algorithms	Dec 26, 2019	Bayesian Inference	CodeCode Available	5
Differentially Private Distributed Bayesian Linear Regression with MCMC	Jan 31, 2023	Bayesian InferencePrivacy Preserving	CodeCode Available	5
Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous Data	Jun 20, 2021	Bayesian Inference	CodeCode Available	5
Data-driven Modeling and Inference for Bayesian Gaussian Process ODEs via Double Normalizing Flows	Sep 17, 2023	Bayesian InferenceGaussian Processes	CodeCode Available	5
Electrostatics-based particle sampling and approximate inference	Jun 28, 2024	Bayesian Inference	CodeCode Available	5
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya	May 31, 2023	Bayesian Inference	CodeCode Available	5
An embedded segmental K-means model for unsupervised segmentation and clustering of speech	Mar 23, 2017	Bayesian InferenceClustering	CodeCode Available	5
Deep Neural Networks as Gaussian Processes	Nov 1, 2017	Bayesian InferenceGaussian Processes	CodeCode Available	5
Projective Integral Updates for High-Dimensional Variational Inference	Jan 20, 2023	Bayesian InferenceVariational Inference	CodeCode Available	5
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation	Nov 21, 2023	Bayesian Inference	CodeCode Available	5
Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systems	Apr 5, 2022	Bayesian Inference	CodeCode Available	5
Adaptive Nonparametric Perturbations of Parametric Bayesian Models	Dec 14, 2024	Bayesian InferenceCausal Inference	CodeCode Available	5
Deep Bayesian inference for seismic imaging with tasks	Oct 10, 2021	Bayesian InferenceInductive Bias	CodeCode Available	5
Deep Bayesian Structure Networks	Sep 25, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	5
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-up	May 6, 2024	Bayesian InferenceHyperparameter Optimization	CodeCode Available	5
Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active Inference	Sep 30, 2024	Bayesian InferenceContinual Learning	CodeCode Available	5
Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net	Sep 25, 2017	Bayesian Inferenceregression	CodeCode Available	5
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure	Nov 22, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	5
Debiased Bayesian inference for average treatment effects	Sep 26, 2019	Bayesian InferenceCausal Inference	CodeCode Available	5
Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling	Aug 18, 2023	Bayesian InferenceImage Deconvolution	CodeCode Available	5
Analytical Approximation of the ELBO Gradient in the Context of the Clutter Problem	Apr 16, 2024	Bayesian InferenceVariational Inference	CodeCode Available	5
Data Subsampling for Bayesian Neural Networks	Oct 17, 2022	Bayesian InferenceFederated Learning	CodeCode Available	5
deBInfer: Bayesian inference for dynamical models of biological systems in R	Oct 15, 2016	Bayesian Inference	CodeCode Available	5
Analysis of Markov Jump Processes under Terminal Constraints	Oct 20, 2020	Bayesian Inference	CodeCode Available	5
Amortized variational transdimensional inference	Jun 5, 2025	Bayesian InferenceBayesian Optimization	CodeCode Available	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