SOTAVerified

Bayesian Inference

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

Papers

Showing 391400 of 2226 papers

TitleStatusHype
Batch Bayesian Optimization via Particle Gradient FlowsCode0
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family ApproximationsCode0
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN samplerCode0
Faster MCMC for Gaussian Latent Position Network ModelsCode0
Deep Neural Networks as Gaussian ProcessesCode0
Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex ModelsCode0
Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active InferenceCode0
Fidelity of Hyperbolic Space for Bayesian Phylogenetic InferenceCode0
Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma AugmentationCode0
Batch Bayesian optimisation via density-ratio estimation with guaranteesCode0
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Benchmark Results

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