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Why are Big Data Matrices Approximately Low Rank?

Why are Big Data Matrices Approximately Low Rank?

21 May 2017
Madeleine Udell
Alex Townsend
ArXivPDFHTML

Papers citing "Why are Big Data Matrices Approximately Low Rank?"

5 / 5 papers shown
Title
Nonparametric Matrix Estimation with One-Sided Covariates
Nonparametric Matrix Estimation with One-Sided Covariates
Chao Yu
26
3
0
26 Oct 2021
On Robustness of Principal Component Regression
On Robustness of Principal Component Regression
Anish Agarwal
Devavrat Shah
Dennis Shen
Dogyoon Song
29
81
0
28 Feb 2019
Unseeded low-rank graph matching by transform-based unsupervised point
  registration
Unseeded low-rank graph matching by transform-based unsupervised point registration
Yuan Zhang
21
6
0
12 Jul 2018
Causal Inference with Noisy and Missing Covariates via Matrix
  Factorization
Causal Inference with Noisy and Missing Covariates via Matrix Factorization
Nathan Kallus
Xiaojie Mao
Madeleine Udell
CML
11
62
0
03 Jun 2018
Dynamic Assortment Personalization in High Dimensions
Dynamic Assortment Personalization in High Dimensions
Nathan Kallus
Madeleine Udell
29
66
0
18 Oct 2016
1