Table1: AveragetestingperformanceandstandarddeviationofRMSE(RootMeanSquareError),withbintheBeta distribution,v0 intheSSGLprior,andrinthesimulatedannealing(Hyperparametersb/v0/r)

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As shown in Table 1, SGHMC-SA outperforms all baselines. However, as implicitly assumed in our37 theory, the convergence of the SGMCMC algorithm is essential.

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