Bayesian Inference

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

Papers

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Showing 651–700 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
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
Batch Bayesian optimisation via density-ratio estimation with guarantees	Sep 22, 2022	Bayesian InferenceBayesian Optimisation	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
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference	May 24, 2023	Bayesian InferenceUncertainty Quantification	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 Learning and genetic algorithms for cosmological Bayesian inference speed-up	May 6, 2024	Bayesian InferenceHyperparameter Optimization	CodeCode Available	5
Deep Neural Networks as Gaussian Processes	Nov 1, 2017	Bayesian InferenceGaussian Processes	CodeCode Available	5
Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma Augmentation	Jun 18, 2015	Bayesian InferencePosition	CodeCode Available	5
Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy	Sep 13, 2019	AstronomyBayesian Inference	CodeCode Available	5
Deep Bayesian Structure Networks	Sep 25, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	5
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features	Dec 1, 2021	Bayesian InferenceGaussian Processes	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
Compositional uncertainty in deep Gaussian processes	Sep 17, 2019	Bayesian InferenceGaussian Processes	CodeCode Available	5
Bayesian Online Natural Gradient (BONG)	May 30, 2024	Bayesian InferenceSequential Bayesian Inference	CodeCode Available	5
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks	Dec 16, 2021	Bayesian InferenceDecision Making	CodeCode Available	5
Deep Bayesian inference for seismic imaging with tasks	Oct 10, 2021	Bayesian InferenceInductive Bias	CodeCode Available	5
Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors	Mar 14, 2024	AttributeBayesian Inference	CodeCode Available	5
Detecting structural perturbations from time series with deep learning	Jun 9, 2020	Bayesian InferenceDeep Learning	CodeCode Available	5
Bayesian Online Prediction of Change Points	Feb 12, 2019	Bayesian InferenceChange Point Detection	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
Conditionally Independent Multiresolution Gaussian Processes	Feb 25, 2018	Bayesian InferenceGaussian Processes	CodeCode Available	5
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