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 651–675 of 2226 papers

Title	Date	Tasks	Status	Score
Bayesian posterior approximation with stochastic ensembles	Dec 15, 2022	Bayesian Inferenceimage-classification	CodeCode Available	5
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain	Dec 1, 2021	Bayesian Inferenceregression	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
Combining Model and Parameter Uncertainty in Bayesian Neural Networks	Mar 18, 2019	Bayesian InferenceModel Selection	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
Assumed Density Filtering Q-learning	Dec 9, 2017	Atari GamesBayesian Inference	CodeCode Available	5
Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation	Jul 13, 2017	Bayesian InferenceMissing Values	CodeCode Available	5
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL	May 25, 2022	Bayesian InferenceText to SQL	CodeCode Available	5
Deep Neural Networks as Gaussian Processes	Nov 1, 2017	Bayesian InferenceGaussian Processes	CodeCode Available	5
Differentially Private Federated Variational Inference	Nov 24, 2019	Bayesian InferenceFederated Learning	CodeCode Available	5
Deep Bayesian Structure Networks	Sep 25, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	5
Baxter Permutation Process	Dec 1, 2020	Bayesian Inference	CodeCode Available	5
Deep Bayesian inference for seismic imaging with tasks	Oct 10, 2021	Bayesian InferenceInductive Bias	CodeCode Available	5
deBInfer: Bayesian inference for dynamical models of biological systems in R	Oct 15, 2016	Bayesian Inference	CodeCode Available	5
Debiased Bayesian inference for average treatment effects	Sep 26, 2019	Bayesian InferenceCausal Inference	CodeCode Available	5
Compositional uncertainty in deep Gaussian processes	Sep 17, 2019	Bayesian InferenceGaussian Processes	CodeCode Available	5
Deep Active Inference as Variational Policy Gradients	Jul 8, 2019	Bayesian Inferencereinforcement-learning	CodeCode Available	5
Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy	Sep 13, 2019	AstronomyBayesian Inference	CodeCode Available	5
Data-driven Approach for Interpolation of Sparse Data	May 2, 2025	Bayesian InferenceGaussian Processes	CodeCode Available	5
Data Subsampling for Bayesian Neural Networks	Oct 17, 2022	Bayesian InferenceFederated Learning	CodeCode Available	5
A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets	Mar 11, 2021	Bayesian InferenceMissing Values	CodeCode Available	5
Bayesian Online Natural Gradient (BONG)	May 30, 2024	Bayesian InferenceSequential Bayesian Inference	CodeCode Available	5
Simulation-based Bayesian Inference from Privacy Protected Data	Oct 19, 2023	Bayesian InferenceTime Series	CodeCode Available	5
Conditional diffusions for amortized neural posterior estimation	Oct 24, 2024	Bayesian InferenceBenchmarking	CodeCode Available	5
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure	Nov 22, 2019	Bayesian InferenceNeural Architecture Search	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