Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu. Approximate Distributionally Robust Nonlinear Optimization with Application to Model Predictive Control: A Functional Approach. In Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger, editors, Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, L4DC 2021, 7-8 June 2021, Virtual Event, Switzerland. Volume 144 of Proceedings of Machine Learning Research, pages 1255-1269, PMLR, 2021. [doi]
@inproceedings{NemmourSZ21,
title = {Approximate Distributionally Robust Nonlinear Optimization with Application to Model Predictive Control: A Functional Approach},
author = {Yassine Nemmour and Bernhard Schölkopf and Jia-Jie Zhu},
year = {2021},
url = {http://proceedings.mlr.press/v144/nemmour21a.html},
researchr = {https://researchr.org/publication/NemmourSZ21},
cites = {0},
citedby = {0},
pages = {1255-1269},
booktitle = {Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, L4DC 2021, 7-8 June 2021, Virtual Event, Switzerland},
editor = {Ali Jadbabaie and John Lygeros and George J. Pappas and Pablo A. Parrilo and Benjamin Recht and Claire J. Tomlin and Melanie N. Zeilinger},
volume = {144},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}