VariationalBayesianMonteCarlo withNoisyLikelihoods

Neural Information Processing Systems 

Intheoriginalformulation, observations are assumed to be exact (non-noisy), so the GP likelihood only included a small observation noise σ2obs for numerical stability [32].

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