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]
@inproceedings{ZhuSD20,
title = {A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control},
author = {Jia-Jie Zhu and Bernhard Schölkopf and Moritz Diehl},
year = {2020},
url = {http://proceedings.mlr.press/v120/zhu20a.html},
researchr = {https://researchr.org/publication/ZhuSD20},
cites = {0},
citedby = {0},
pages = {915-923},
booktitle = {Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, L4DC 2020, Online Event, Berkeley, CA, USA, 11-12 June 2020},
editor = {Alexandre M. Bayen and Ali Jadbabaie and George J. Pappas and Pablo A. Parrilo and Benjamin Recht and Claire J. Tomlin and Melanie N. Zeilinger},
volume = {120},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}