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 226–250 of 2226 papers

Title	Date	Tasks	Status	Score
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
Differentially Private Bayesian Learning on Distributed Data	Mar 3, 2017	Bayesian Inference	CodeCode Available	5
A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome	Mar 13, 2018	Bayesian Inference	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 genetic algorithms for cosmological Bayesian inference speed-up	May 6, 2024	Bayesian InferenceHyperparameter Optimization	CodeCode Available	5
A fast asynchronous MCMC sampler for sparse Bayesian inference	Aug 14, 2021	Bayesian Inference	CodeCode Available	5
Debiased Bayesian inference for average treatment effects	Sep 26, 2019	Bayesian InferenceCausal Inference	CodeCode Available	5
A Bayesian Monte Carlo approach for predicting the spread of infectious diseases	Apr 26, 2019	Bayesian InferenceDisease Prediction	CodeCode Available	5
Deep Bayesian inference for seismic imaging with tasks	Oct 10, 2021	Bayesian InferenceInductive Bias	CodeCode Available	5
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure	Nov 22, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	5
deBInfer: Bayesian inference for dynamical models of biological systems in R	Oct 15, 2016	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
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
A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms	Nov 8, 2018	Bayesian Inferenceparameter estimation	CodeCode Available	5
Adversarial robustness of amortized Bayesian inference	May 24, 2023	Adversarial RobustnessBayesian Inference	CodeCode Available	5
AGEM: Solving Linear Inverse Problems via Deep Priors and Sampling	Dec 1, 2019	Bayesian InferenceDeblurring	CodeCode Available	5
Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference	Oct 1, 2021	Bayesian Inference	CodeCode Available	5
Are Bayesian neural networks intrinsically good at out-of-distribution detection?	Jul 26, 2021	Bayesian InferenceOut-of-Distribution Detection	CodeCode Available	5
A General Framework for Uncertainty Estimation in Deep Learning	Jul 16, 2019	Autonomous DrivingBayesian Inference	CodeCode Available	5
Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables	Jun 11, 2019	Bayesian InferenceVariational Inference	CodeCode Available	5
Data-driven Approach for Interpolation of Sparse Data	May 2, 2025	Bayesian InferenceGaussian Processes	CodeCode Available	5
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data	Dec 3, 2015	Bayesian InferenceCommon Sense Reasoning	CodeCode Available	5
Adversarial α-divergence Minimization for Bayesian Approximate Inference	Sep 13, 2019	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