Robust and Provable Guarantees for Sparse Random Embeddings

Reference : Robust and Provable Guarantees for Sparse Random Embeddings


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/53911

Title :	Robust and Provable Guarantees for Sparse Random Embeddings
Language :	English
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) >]
Publication date :	18-May-2022
Main document 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
Pages :	211-223
Peer reviewed :	Yes
Audience :	International
ISBN :	978-3-031-05935-3
Event name :	Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference (PAKDD 2022)
Event date :	May 16-19, 2022
Event place (city) :	Chengdu
Event country :	China
Permalink :	http://hdl.handle.net/10993/53911
DOI :	10.1007/978-3-031-05936-0\_17
Other URL :	https://doi.org/10.1007/978-3-031-05936-0\_17

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