Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples (2021)
Attributed to:
Engineering Fellowships For Growth: Designing Feedback Control in Biology for Robustness and Scalability
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Type: Other
Volume: 144
Parent Publication: Proceedings of Machine Learning Research
ISSN: 26403498