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Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Robust and Provable Guarantees for Sparse Random Embeddings
Skorski, Maciej; TEMPERONI, Alessandro; THEOBALD, Martin
2022 • In Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part II.
Peer reviewed
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https://hdl.handle.net/10993/53911
DOI
10.1007/978-3-031-05936-0\_17
 

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Disciplines :
Computer science
Author, co-author :
Skorski, Maciej;  University of Luxembourg > Department of Computer Science
TEMPERONI, Alessandro ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
THEOBALD, Martin ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
External co-authors :
no
Language :
English
Title :
Robust and Provable Guarantees for Sparse Random Embeddings
Publication date :
18 May 2022
Event name :
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference (PAKDD 2022)
Event place :
Chengdu, China
Event date :
May 16-19, 2022
Audience :
International
Main work title :
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part II.
Publisher :
Springer
ISBN/EAN :
978-3-031-05935-3
Pages :
211-223
Peer reviewed :
Peer reviewed
Additional URL :
https://doi.org/10.1007/978-3-031-05936-0\_17
Available on ORBilu :
since 17 January 2023

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