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Learning Functions and Uncertainty Sets Using Geometrically Constrained Kernel Regression

, , and . 2022 IEEE 61st Conference on Decision and Control (CDC), page 2141-2146. IEEE, (2022)
DOI: 10.1109/CDC51059.2022.9993144

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Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression, , and . Proceedings of the AAAI Conference on Artificial Intelligence, 35, 8, page 7439-7447. Palo Alto, Association for the Advancement of Artificial Intelligence, (2021)Learning Functions and Uncertainty Sets Using Geometrically Constrained Kernel Regression, , and . 2022 IEEE 61st Conference on Decision and Control (CDC), page 2141-2146. IEEE, (2022)Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees, , and . 2021 60th IEEE Conference on Decision and Control (CDC), page 3611-3618. Piscataway, IEEE, (2021)