SOTAVerified

Bayesian Inference

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

Papers

Showing 231240 of 2226 papers

TitleStatusHype
Debiased Bayesian inference for average treatment effectsCode0
Measuring Uncertainty through Bayesian Learning of Deep Neural Network StructureCode0
deBInfer: Bayesian inference for dynamical models of biological systems in RCode0
Deep Bayesian Structure NetworksCode0
A fast asynchronous MCMC sampler for sparse Bayesian inferenceCode0
Data-driven Approach for Interpolation of Sparse DataCode0
A Probabilistic Disease Progression Model for Predicting Future Clinical OutcomeCode0
Deep Active Inference as Variational Policy GradientsCode0
A Bayesian Perspective on the Deep Image PriorCode0
A Bayesian Monte Carlo approach for predicting the spread of infectious diseasesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1F-SWAAccuracy83.61Unverified
2F-SWAGAccuracy80.93Unverified