Empirical Inference

A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control

2020

Conference Paper

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Author(s): Zhu, J.-J. and Diehl, M. and Schölkopf, B.
Book Title: 2nd Annual Conference on Learning for Dynamics and Control (L4DC)
Volume: 120
Pages: 915--923
Year: 2020
Month: June

Series: Proceedings of Machine Learning Research
Editors: Alexandre M. Bayen and Ali Jadbabaie and George Pappas and Pablo A. Parrilo and Benjamin Recht and Claire Tomlin and Melanie Zeilinger
Publisher: PMLR

Department(s): Empirical Inference
Research Project(s): Stochastic and Robust Optimization
Bibtex Type: Conference Paper (conference)

Event Place: Berkeley, CA

State: Published
URL: http://proceedings.mlr.press/v120/zhu20a.html

Links: arXiv

BibTex

@conference{ZhuDieSch20,
  title = {A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control},
  author = {Zhu, J.-J. and Diehl, M. and Sch{\"o}lkopf, B.},
  booktitle = {2nd Annual Conference on Learning for Dynamics and Control (L4DC)},
  volume = {120},
  pages = {915--923},
  series = {Proceedings of Machine Learning Research},
  editors = {Alexandre M. Bayen and Ali Jadbabaie and George Pappas and Pablo A. Parrilo and Benjamin Recht and Claire Tomlin and Melanie Zeilinger},
  publisher = {PMLR},
  month = jun,
  year = {2020},
  doi = {},
  url = {http://proceedings.mlr.press/v120/zhu20a.html},
  month_numeric = {6}
}