SOTAVerified

Bayesian Inference

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2211–2220 of 2226 papers

TitleStatusHype
Convergence Rates of Variational Inference in Sparse Deep Learning—0
Generalization of generative model for neuronal ensemble inference method—0
Generalized Bayesian Filtering via Sequential Monte Carlo—0
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation—0
Generalized Dropout—0
Robust Bayesian Inference for Moving Horizon Estimation—0
Generalized Power Priors for Improved Bayesian Inference with Historical Data—0
Generalized second law of thermodynamics in the Glosten-Milgrom model—0
Generalizing Eye Tracking With Bayesian Adversarial Learning—0
Generalizing to the Open World: Deep Visual Odometry with Online Adaptation—0
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Benchmark Results

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