A hierarchical prior on grid resolution makes grid-interpolated Gaussian process regression minimax-rate-adaptive over Holder classes, up to logarithmic factors.
Gaussian predictive process models for large spatial data sets
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Adaptive Resolution for Finite-Rank Gaussian Processes
A hierarchical prior on grid resolution makes grid-interpolated Gaussian process regression minimax-rate-adaptive over Holder classes, up to logarithmic factors.