Beyond smoothness : Incorporating low-rank analysis into nonparametric density estimation
The construction and theoretical analysis of the most popular universally consistent nonparametric density estimators hinge on one functional property: smoothness. In this paper we investigate the theoretical implications of incorporating a multi-view latent variable model, a type of low-rank model,...
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Main Authors: | VANDERMEULEN, Rob, LEDENT, Antoine |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2021
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Online Access: | https://ink.library.smu.edu.sg/sis_research/7205 https://ink.library.smu.edu.sg/context/sis_research/article/8208/viewcontent/Low_rank.pdf |
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Institution: | Singapore Management University |
Language: | English |
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