Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

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Showing 501–525 of 2226 papers

Title	Date	Tasks	Status	Score
Population Empirical Bayes	Nov 2, 2014	Bayesian Inferenceregression	CodeCode Available	5
Neural Posterior Regularization for Likelihood-Free Inference	Feb 15, 2021	Bayesian Inference	CodeCode Available	5
A Molecular Prior Distribution for Bayesian Inference Based on Wilson Statistics	Feb 18, 2022	Bayesian InferenceCryogenic Electron Microscopy (cryo-EM)	CodeCode Available	5
Differentially Private Distributed Bayesian Linear Regression with MCMC	Jan 31, 2023	Bayesian InferencePrivacy Preserving	CodeCode Available	5
A Metalearned Neural Circuit for Nonparametric Bayesian Inference	Nov 24, 2023	Bayesian InferenceInductive Bias	CodeCode Available	5
Predictive, scalable and interpretable knowledge tracing on structured domains	Mar 19, 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
Automated Scalable Bayesian Inference via Hilbert Coresets	Oct 13, 2017	Bayesian Inference	CodeCode Available	5
A Metaheuristic for Amortized Search in High-Dimensional Parameter Spaces	Sep 28, 2023	Bayesian Inference	CodeCode Available	5
Probing as Quantifying Inductive Bias	Oct 15, 2021	Bayesian InferenceInductive Bias	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
Detecting structural perturbations from time series with deep learning	Jun 9, 2020	Bayesian InferenceDeep Learning	CodeCode Available	5
Differentially Private Federated Variational Inference	Nov 24, 2019	Bayesian InferenceFederated Learning	CodeCode Available	5
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-up	May 6, 2024	Bayesian InferenceHyperparameter Optimization	CodeCode Available	5
Deep Bayesian inference for seismic imaging with tasks	Oct 10, 2021	Bayesian InferenceInductive Bias	CodeCode Available	5
Deep Active Inference as Variational Policy Gradients	Jul 8, 2019	Bayesian Inferencereinforcement-learning	CodeCode Available	5
Deep Bayesian Structure Networks	Sep 25, 2019	Bayesian InferenceNeural Architecture Search	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
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure	Nov 22, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	5
Bayesian filtering unifies adaptive and non-adaptive neural network optimization methods	Jul 19, 2018	Bayesian Inference	CodeCode Available	5
Debiased Bayesian inference for average treatment effects	Sep 26, 2019	Bayesian InferenceCausal Inference	CodeCode Available	5
Data-driven Approach for Interpolation of Sparse Data	May 2, 2025	Bayesian InferenceGaussian Processes	CodeCode Available	5
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference	Jan 8, 2019	Bayesian InferenceGeneral Classification	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

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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