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Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control

Neural Information Processing Systems

Key to the application of such models in safety-critical domains is the quantification of their model error. Gaussian processes provide such a measure anduniform error bounds havebeen derived,which allowsafe control based on thesemodels.