A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control - researchr publication authors

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Jia-Jie Zhu, Bernhard Schölkopf, Moritz Diehl. A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control. In Alexandre M. Bayen, Ali Jadbabaie, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger, editors, Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, L4DC 2020, Online Event, Berkeley, CA, USA, 11-12 June 2020. Volume 120 of Proceedings of Machine Learning Research, pages 915-923, PMLR, 2020. [doi]

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