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

NeurIPS 2019 Armin LedererJonas UmlauftSandra Hirche

Data-driven models are subject to model errors due to limited and noisy training data. Key to the application of such models in safety-critical domains is the quantification of their model error... (read more)

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