Bayesian Inference

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

Papers

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Showing 351–375 of 2226 papers

Title	Date	Tasks	Status	Score
Bayesian Approaches to Shrinkage and Sparse Estimation	Dec 22, 2021	Bayesian Inferencequantile regression	CodeCode Available	5
Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning Algorithms	Dec 26, 2019	Bayesian Inference	CodeCode Available	5
Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma Augmentation	Jun 18, 2015	Bayesian InferencePosition	CodeCode Available	5
Bayesian Conditional Density Filtering	Jan 15, 2014	Bayesian Inference	CodeCode Available	5
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings	Feb 27, 2017	Bayesian InferenceClassification	CodeCode Available	5
Detecting structural perturbations from time series with deep learning	Jun 9, 2020	Bayesian InferenceDeep Learning	CodeCode Available	5
Bayesian Convolutional Neural Networks for Compressed Sensing Restoration	Feb 24, 2019	Bayesian Inferencecompressed sensing	CodeCode Available	5
Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference	Jun 15, 2018	Bayesian InferenceGeneral Classification	CodeCode Available	5
Differentially Private Bayesian Inference for Exponential Families	Sep 6, 2018	Bayesian Inference	CodeCode Available	5
Bayesian adaptive and interpretable functional regression for exposure profiles	Mar 1, 2022	Bayesian Inferenceregression	CodeCode Available	5
Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling	Aug 18, 2023	Bayesian InferenceImage Deconvolution	CodeCode Available	5
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences	Jun 6, 2018	Bayesian InferenceChange Point Detection	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
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks	Jun 7, 2019	Autonomous DrivingBayesian Inference	CodeCode Available	5
Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net	Sep 25, 2017	Bayesian Inferenceregression	CodeCode Available	5
Dropout as a Structured Shrinkage Prior	Oct 9, 2018	Bayesian Inference	CodeCode Available	5
Deep Neural Networks as Gaussian Processes	Nov 1, 2017	Bayesian InferenceGaussian Processes	CodeCode Available	5
Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems	May 28, 2019	Bayesian InferenceZero-Shot 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
Differentially Private Bayesian Learning on Distributed Data	Mar 3, 2017	Bayesian Inference	CodeCode Available	5
Distilling Importance Sampling for Likelihood Free Inference	Oct 8, 2019	Bayesian InferenceEpidemiology	CodeCode Available	5
Efficient identification of informative features in simulation-based inference	Oct 21, 2022	Bayesian Inference	CodeCode Available	5
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks	Dec 16, 2021	Bayesian InferenceDecision Making	CodeCode Available	5
Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference	Oct 25, 2023	Bayesian InferenceComputational Efficiency	CodeCode Available	5
Amortized Variational Inference: When and Why?	Jul 20, 2023	Bayesian InferenceGaussian Processes	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