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Bayesian Inference

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

Papers

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Showing 971–980 of 2226 papers

TitleStatusHype
A deep surrogate approach to efficient Bayesian inversion in PDE and integral equation models—0
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes—0
Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network—0
Fast Parallel SVM using Data Augmentation—0
A Bayesian Long Short-Term Memory Model for Value at Risk and Expected Shortfall Joint Forecasting—0
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference—0
Approximations in the homogeneous Ising model—0
Fast Variational Inference for Large-scale Internet Diagnosis—0
Bayesian Inference for Large Scale Image Classification—0
Domain Agnostic Conditional Invariant Predictions for Domain Generalization—0
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Benchmark Results

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