Inproceedings,
Local Latent Space Bayesian Optimization over Structured Inputs.
N. Maus, H. Jones, J. Moore, M. Kusner, J. Bradshaw, and J. Gardner.NeurIPS, (2022)
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- conf/nips/MausJMKBG22
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- inproceedings
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- NeurIPS
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- 2022
- crossref
- conf/nips/2022
- ee
- http://papers.nips.cc/paper_files/paper/2022/hash/ded98d28f82342a39f371c013dfb3058-Abstract-Conference.html
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- 9781713871088
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- http://dblp.uni-trier.de/db/conf/nips/neurips2022.html#MausJMKBG22
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%1 conf/nips/MausJMKBG22
%A Maus, Natalie
%A Jones, Haydn
%A Moore, Juston
%A Kusner, Matt J.
%A Bradshaw, John
%A Gardner, Jacob R.
%B NeurIPS
%D 2022
%E Koyejo, Sanmi
%E Mohamed, S.
%E Agarwal, A.
%E Belgrave, Danielle
%E Cho, K.
%E Oh, A.
%K dblp
%T Local Latent Space Bayesian Optimization over Structured Inputs.
%U http://dblp.uni-trier.de/db/conf/nips/neurips2022.html#MausJMKBG22
%@ 9781713871088
@inproceedings{conf/nips/MausJMKBG22,
added-at = {2024-01-08T00:00:00.000+0100},
author = {Maus, Natalie and Jones, Haydn and Moore, Juston and Kusner, Matt J. and Bradshaw, John and Gardner, Jacob R.},
biburl = {https://www.bibsonomy.org/bibtex/217e094895a12976e8af26f2e4131e016/dblp},
booktitle = {NeurIPS},
crossref = {conf/nips/2022},
editor = {Koyejo, Sanmi and Mohamed, S. and Agarwal, A. and Belgrave, Danielle and Cho, K. and Oh, A.},
ee = {http://papers.nips.cc/paper_files/paper/2022/hash/ded98d28f82342a39f371c013dfb3058-Abstract-Conference.html},
interhash = {7fae22cb040f41e6a779b5751af87cf6},
intrahash = {17e094895a12976e8af26f2e4131e016},
isbn = {9781713871088},
keywords = {dblp},
timestamp = {2024-04-09T23:22:16.000+0200},
title = {Local Latent Space Bayesian Optimization over Structured Inputs.},
url = {http://dblp.uni-trier.de/db/conf/nips/neurips2022.html#MausJMKBG22},
year = 2022
}