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 526–550 of 2226 papers

Title	Date	Tasks	Status	Score
Differentially Private Distributed Bayesian Linear Regression with MCMC	Jan 31, 2023	Bayesian InferencePrivacy Preserving	CodeCode Available	5
Differentially Private Bayesian Learning on Distributed Data	Mar 3, 2017	Bayesian Inference	CodeCode Available	5
Differentially Private Federated Variational Inference	Nov 24, 2019	Bayesian InferenceFederated Learning	CodeCode Available	5
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
Detecting structural perturbations from time series with deep learning	Jun 9, 2020	Bayesian InferenceDeep Learning	CodeCode Available	5
Differentially Private Bayesian Inference for Exponential Families	Sep 6, 2018	Bayesian Inference	CodeCode Available	5
Attentional Prototype Inference for Few-Shot Segmentation	May 14, 2021	Bayesian InferenceFew-Shot Semantic Segmentation	CodeCode Available	5
A Bayesian Approach for Medical Inquiry and Disease Inference in Automated Differential Diagnosis	Oct 15, 2021	Bayesian InferenceExperimental Design	CodeCode Available	5
ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition	Jun 8, 2025	Active LearningBayesian Inference	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
Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma Augmentation	Jun 18, 2015	Bayesian InferencePosition	CodeCode Available	5
Electricity Spot Prices Forecasting Using Stochastic Volatility Models	Jun 9, 2024	Bayesian InferenceTime Series	CodeCode Available	5
A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry	Dec 31, 2023	Bayesian InferenceVariational Inference	CodeCode Available	5
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks	Dec 16, 2015	Bayesian InferenceDeep Learning	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
deBInfer: Bayesian inference for dynamical models of biological systems in R	Oct 15, 2016	Bayesian Inference	CodeCode Available	5
Asynchronous and Distributed Data Augmentation for Massive Data Settings	Sep 18, 2021	Bayesian InferenceData Augmentation	CodeCode Available	5
Deep Active Inference as Variational Policy Gradients	Jul 8, 2019	Bayesian Inferencereinforcement-learning	CodeCode Available	5
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure	Nov 22, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	5
Data Subsampling for Bayesian Neural Networks	Oct 17, 2022	Bayesian InferenceFederated Learning	CodeCode Available	5
Debiased Bayesian inference for average treatment effects	Sep 26, 2019	Bayesian InferenceCausal Inference	CodeCode Available	5
Deep Bayesian inference for seismic imaging with tasks	Oct 10, 2021	Bayesian InferenceInductive Bias	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
COVID-19 detection using chest X-rays: is lung segmentation important for generalization?	Apr 12, 2021	Bayesian InferenceGeneral Classification	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