Nearest Neighbors for Matrix Estimation Interpreted as Blind Regression for Latent Variable Model

© 1963-2012 IEEE. We consider the setup of nonparametric blind regression for estimating the entries of a large {m} \times {n} matrix, when provided with a small, random fraction of noisy measurements. We assume that all rows {u} \in [{m}] and columns {i} \in [{n}] of the matrix are associated to la...

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Bibliographic Details
Main Authors: Li, Yihua, Shah, Devavrat, Song, Dogyoon, Yu, Christina Lee
Other Authors: Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2021
Online Access:https://hdl.handle.net/1721.1/136320