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  4. Differentiating the Multipoint Expected Improvement for Optimal Batch Design
 
book part or chapter

Differentiating the Multipoint Expected Improvement for Optimal Batch Design

Marmin, Sébastien
•
Chevalier, Clément
•
Ginsbourger, David
Pardalos, Panos
•
Pavone, Mario
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2015
Machine Learning, Optimization, and Big Data
  • Details
  • Metrics
Type
book part or chapter
DOI
10.1007/978-3-319-27926-8_4
Author(s)
Marmin, Sébastien
Chevalier, Clément
Ginsbourger, David
Editors
Pardalos, Panos
•
Pavone, Mario
•
Farinella, Giovanni Maria
•
Cutello, Vincenzo
Date Issued

2015

Publisher

Springer International Publishing

Published in
Machine Learning, Optimization, and Big Data
ISBN of the book

978-3-319-27925-1

Start page

37

End page

48

Series title/Series vol.

Lecture Notes in Computer Science

Note

Machine Learning, Optimization, and Big Data

Written at

EPFL

EPFL units
LIDIAP  
Available on Infoscience
July 26, 2018
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/147543
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