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Polynomial Matrix Completion for Missing Data Imputation and
  Transductive Learning

Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning

15 December 2019
Jicong Fan
Yuqian Zhang
Madeleine Udell
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Papers citing "Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning"

5 / 5 papers shown
Title
A systematic review of challenges and proposed solutions in modeling multimodal data
A systematic review of challenges and proposed solutions in modeling multimodal data
Maryam Farhadizadeh
Maria Weymann
Michael Blaß
Johann Kraus
Christopher Gundler
Sebastian Walter
Noah Hempen
Harald Binde
Nadine Binder
52
0
0
11 May 2025
Explainability of Machine Learning Models under Missing Data
Explainability of Machine Learning Models under Missing Data
Tuan L. Vo
T. Nguyen
Hugo Lewi Hammer
Michael A. Riegler
Pål Halvorsen
Pal Halvorsen
102
2
0
29 Jun 2024
Imputation using training labels and classification via label imputation
Imputation using training labels and classification via label imputation
Thu Nguyen
Tuan L. Vo
Pål Halvorsen
Michael A. Riegler
51
0
0
28 Nov 2023
Algebraic Variety Models for High-Rank Matrix Completion
Algebraic Variety Models for High-Rank Matrix Completion
Greg Ongie
Rebecca Willett
Robert D. Nowak
Laura Balzano
49
56
0
28 Mar 2017
Scalable Robust Matrix Recovery: Frank-Wolfe Meets Proximal Methods
Scalable Robust Matrix Recovery: Frank-Wolfe Meets Proximal Methods
Cun Mu
Yuqian Zhang
John N. Wright
D. Goldfarb
50
75
0
29 Mar 2014
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