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Matrix completion is often applied to data with entries missing not at random (MNAR).
Conditional Monte Carlo for normal samples
Hale F. Trotter and John W. Tukey · 1956
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Probabilistic matrix factorization
Andriy Mnih and Ruslan R Salakhutdinov · 2008
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Exact matrix completion via convex optimization
Emmanuel J. Candès and Benjamin Recht · 2009
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A singular value thresholding algorithm for matrix completion
Jian-Feng Cai, Emmanuel J. Candès, and Zuowei Shen · 2010
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Spectral regularization algorithms for learning large incomplete matrices
Rahul Mazumder, Trevor Hastie, and Robert Tibshirani · 2010
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Collaborative filtering in a non-uniform world: Learning with the weighted trace norm
Nathan Srebro and Ruslan R. Salakhutdinov · 2010
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Training and testing of recommender systems on data missing not at random
Harald Steck · 2010
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A simpler approach to matrix completion
Benjamin Recht · 2011
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Sampling
Steven K. Thompson · 2012
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Concentration inequalities: A nonasymptotic theory of independence
Stéphane Boucheron, Gábor Lugosi, and Pascal Massart · 2013
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1-bit matrix completion
Mark A. Davenport, Yaniv Plan, Ewout Van Den Berg, and Mary Wootters · 2014
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Proximal algorithms
Neal Parikh and Stephen Boyd · 2014
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Matrix estimation by universal singular value thresholding
The MovieLens datasets: History and context
F. Maxwell Harper and Joseph A. Konstan · 2016
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Modeling user exposure in recommendation
Dawen Liang, Laurent Charlin, James McInerney, and David M. Blei · 2016
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Recommendations as treatments: Debiasing learning and evaluation
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Blind regression: Nonparametric regression for latent variable models via collaborative filtering
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Imputation and low-rank estimation with missing non at random data
Aude Sportisse, Claire Boyer, and Julie Josse · 2018
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Statistical Analysis with Missing Data
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Sourav Chatterjee · 2015
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Principal component analysis with missing values: a comparative survey of methods
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Causal Inference for Statistics, Social, and Biomedical Sciences
Guido W. Imbens and Donald B. Rubin · 2015
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Adith Swaminathan and Thorsten Joachims · 2015
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Matrix completion via max-norm constrained optimization
T. Tony Cai and Wen-Xin Zhou · 2016
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Matrix completion from a few entries
Raghunandan H Keshavan, Andrea Montanari, and Sewoong Oh
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Roderick J. A. Little and Donald B. Rubin · 2019
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High-dimensional principal component analysis with heterogeneous missingness
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Matrix completion from noisy entries
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