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Empirical Inference Conference Paper 2021

Approximate Distributionally Robust Nonlinear Optimization with Application to Model Predictive Control: A Functional Approach

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Empirical Inference
Yassine Nemmour
  • Doctoral Researcher
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Empirical Inference
Bernhard Schölkopf
  • Director
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Empirical Inference
Jia-Jie Zhu

Author(s): Nemmour, Y. and Schölkopf, B. and Zhu, J.-J.
Book Title: Proceedings of the 3rd Conference on Learning for Dynamics and Control (L4DC)
Volume: 144
Pages: 1255--1269
Year: 2021
Month: June
Series: Proceedings of Machine Learning Research
Editors: Jadbabaie, Ali and Lygeros, John and Pappas, George J. and Parrilo, Pablo A. and Recht, Benjamin and Tomlin, Claire J. and Zeilinger, Melanie N.
Publisher: PMLR
Project(s):
Bibtex Type: Conference Paper (conference)
Event Place: Virtual Conference
State: Published
URL: http://proceedings.mlr.press/v144/nemmour21a.html
Electronic Archiving: grant_archive

BibTex 

@conference{NemSchZhu21,
  title = {Approximate Distributionally Robust Nonlinear Optimization with Application to Model Predictive Control: A Functional Approach},
  booktitle = {Proceedings of the 3rd Conference on Learning for Dynamics and Control (L4DC)},
  volume = {144},
  pages = {1255--1269},
  series = {Proceedings of Machine Learning Research},
  editors = {Jadbabaie, Ali and Lygeros, John and Pappas, George J. and Parrilo, Pablo A. and Recht, Benjamin and Tomlin, Claire J. and Zeilinger, Melanie N.},
  publisher = {PMLR},
  month = jun,
  year = {2021},
  slug = {nemschzhu21},
  author = {Nemmour, Y. and Sch{\"ol}kopf, B. and Zhu, J.-J.},
  url = {http://proceedings.mlr.press/v144/nemmour21a.html},
  month_numeric = {6}
}