SOTAVerified

Bayesian Inference

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

Papers

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Showing 1301–1310 of 2226 papers

TitleStatusHype
Stochastic triangular mesh mapping: A terrain mapping technique for autonomous mobile robots—0
Stochastic Variational Bayesian Inference for a Nonlinear Forward Model—0
Scalable Stochastic Parametric Verification with Stochastic Variational Smoothed Model Checking—0
Stock Trading Using PE ratio: A Dynamic Bayesian Network Modeling on Behavioral Finance and Fundamental Investment—0
Streaming Bayes GFlowNets—0
Streaming Bayesian Inference for Crowdsourced Classification—0
Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing—0
String and Membrane Gaussian Processes—0
Structured Stochastic Gradient MCMC: a hybrid VI and MCMC approach—0
Subsampling Sequential Monte Carlo for Static Bayesian Models—0
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Benchmark Results

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