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 676–700 of 2226 papers

Title	Date	Tasks	Status	Score
Conditional Optimal Transport on Function Spaces	Nov 9, 2023	Bayesian Inference	CodeCode Available	5
Data Subsampling for Bayesian Neural Networks	Oct 17, 2022	Bayesian InferenceFederated Learning	CodeCode Available	5
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure	Nov 22, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	5
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings	Feb 27, 2017	Bayesian InferenceClassification	CodeCode Available	5
Data-driven Approach for Interpolation of Sparse Data	May 2, 2025	Bayesian InferenceGaussian Processes	CodeCode Available	5
Moreau-Yoshida Variational Transport: A General Framework For Solving Regularized Distributional Optimization Problems	Jul 31, 2023	Bayesian Inference	CodeCode Available	5
MPC-guided Imitation Learning of Neural Network Policies for the Artificial Pancreas	Mar 3, 2020	Bayesian InferenceImitation Learning	CodeCode Available	5
Bayesian Approaches to Shrinkage and Sparse Estimation	Dec 22, 2021	Bayesian Inferencequantile regression	CodeCode Available	5
Debiased Bayesian inference for average treatment effects	Sep 26, 2019	Bayesian InferenceCausal Inference	CodeCode Available	5
PDE-constrained Gaussian process surrogate modeling with uncertain data locations	May 19, 2023	Bayesian Inferenceregression	CodeCode Available	5
Mutually Regressive Point Processes	Dec 1, 2019	Bayesian InferencePoint Processes	CodeCode Available	5
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	May 26, 2022	Bayesian Inferenceparameter estimation	CodeCode Available	5
Bayesian at heart: Towards autonomic outflow estimation via generative state-space modelling of heart rate dynamics	Mar 8, 2023	Bayesian InferenceDecision Making	CodeCode Available	5
Bayesian posterior repartitioning for nested sampling	Aug 13, 2019	Bayesian InferenceUnity	CodeCode Available	5
A Simple Approximate Bayesian Inference Neural Surrogate for Stochastic Petri Net Models	Jul 14, 2025	Bayesian InferenceEpidemiology	CodeCode Available	5
Learning to infer in recurrent biological networks	Jun 18, 2020	Bayesian InferenceVariational Inference	CodeCode Available	5
Bayesian neural network with pretrained protein embedding enhances prediction accuracy of drug-protein interaction	Dec 15, 2020	Bayesian InferenceDeep Learning	CodeCode Available	5
A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning	Jun 16, 2023	Bayesian InferenceMeta-Learning	CodeCode Available	5
Constrained Sampling with Primal-Dual Langevin Monte Carlo	Nov 1, 2024	Bayesian Inferencecounterfactual	CodeCode Available	5
Nonblind image deconvolution via leveraging model uncertainty in an untrained deep neural network	May 18, 2022	Bayesian InferenceImage Deconvolution	CodeCode Available	5
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms	May 25, 2023	Bayesian InferenceImage Deconvolution	CodeCode Available	5
Normalizing Constant Estimation with Gaussianized Bridge Sampling	Dec 12, 2019	Bayesian Inference	CodeCode Available	5
deBInfer: Bayesian inference for dynamical models of biological systems in R	Oct 15, 2016	Bayesian Inference	CodeCode Available	5
Continual Multi-task Gaussian Processes	Oct 31, 2019	Bayesian InferenceContinual Learning	CodeCode Available	5
Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study	Feb 2, 2021	Bayesian InferenceVariational 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