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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Bibliographic Details
Main Authors: VANDERMEULEN, Rob, LEDENT, Antoine
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
Subjects:
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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