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- BibTeX key
- conf/nips/LiKZ21
- entry type
- inproceedings
- booktitle
- NeurIPS
- year
- 2021
- pages
- 25463-25475
- crossref
- conf/nips/2021
- ee
- https://proceedings.neurips.cc/paper/2021/hash/d5e2c0adad503c91f91df240d0cd4e49-Abstract.html
- url
- http://dblp.uni-trier.de/db/conf/nips/neurips2021.html#LiKZ21
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- please select -%0 Conference Paper
%1 conf/nips/LiKZ21
%A Li, Shibo
%A Kirby, Robert M.
%A Zhe, Shandian
%B NeurIPS
%D 2021
%E Ranzato, Marc'Aurelio
%E Beygelzimer, Alina
%E Dauphin, Yann N.
%E Liang, Percy
%E Vaughan, Jennifer Wortman
%K dblp
%P 25463-25475
%T Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks.
%U http://dblp.uni-trier.de/db/conf/nips/neurips2021.html#LiKZ21
@inproceedings{conf/nips/LiKZ21,
added-at = {2022-05-03T00:00:00.000+0200},
author = {Li, Shibo and Kirby, Robert M. and Zhe, Shandian},
biburl = {https://www.bibsonomy.org/bibtex/22b89438b41c62b73993562fa8658b389/dblp},
booktitle = {NeurIPS},
crossref = {conf/nips/2021},
editor = {Ranzato, Marc'Aurelio and Beygelzimer, Alina and Dauphin, Yann N. and Liang, Percy and Vaughan, Jennifer Wortman},
ee = {https://proceedings.neurips.cc/paper/2021/hash/d5e2c0adad503c91f91df240d0cd4e49-Abstract.html},
interhash = {36e99e325f95762cca0360bbaa1ca18c},
intrahash = {2b89438b41c62b73993562fa8658b389},
keywords = {dblp},
pages = {25463-25475},
timestamp = {2024-04-09T23:20:59.000+0200},
title = {Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks.},
url = {http://dblp.uni-trier.de/db/conf/nips/neurips2021.html#LiKZ21},
year = 2021
}