Score-augmented loss functions for neural likelihood surrogates in SBI deliver downstream inference performance equivalent to 10x more training data at under 1.1x training time cost on network and spatial process models.
Fast covariance parameter estimation of spatial gaussian process models using neural networks.Stat, 10, 04 2021
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Keeping Score: Efficiency Improvements in Neural Likelihood Surrogate Training via Score-Augmented Loss Functions
Score-augmented loss functions for neural likelihood surrogates in SBI deliver downstream inference performance equivalent to 10x more training data at under 1.1x training time cost on network and spatial process models.