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Missing data is a significant problem impacting all domains.
Inference and missing data
Donald B Rubin · 1976
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A method of solving a convex programming problem with convergence rate o (1/k2)
Yurii Nesterov · 1983
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Missing-data adjustments in large surveys
Roderick JA Little · 1988
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Multiple imputation: a primer
Joseph L Schafer · 1999
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Missing data: A comparison of neural network and expectation maximisation techniques
Fulufhelo V Nelwamondo, Shakir Mohamed, and Tshilidzi Marwala · 2007
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Optimization algorithms on subspaces: Revisiting missing data problem in low-rank matrix
Pei Chen · 2008
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Extracting and composing robust features with denoising autoencoders
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol · 2008
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Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls
Jonathan AC Sterne, Ian R White, John B Carlin, Michael Spratt, Patrick Royston, Michael G Kenward, Angela M Wood, and James R Carpenter · 2009
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Machine learning benchmark problems
Friedrich Leisch and Evgenia Dimitriadou · 2010
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mice: Multivariate imputation by chained equations in r
Stef Buuren and Karin Groothuis-Oudshoorn · 2011
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Generalized denoising auto-encoders as generative models
Yoshua Bengio, Li Yao, Guillaume Alain, and Pascal Vincent · 2013
Cited alongside, same era.
A deep learning based approach for traffic data imputation
Statistical analysis with missing data
Roderick JA Little and Donald B Rubin · 2014
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Tuning multiple imputation by predictive mean matching and local residual draws
Tim P Morris, Ian R White, and Patrick Royston · 2014
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Comparison of random forest and parametric imputation models for imputing missing data using mice: a caliber study
Anoop D Shah, Jonathan W Bartlett, James Carpenter, Owen Nicholas, and Harry Hemingway · 2014
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
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Deep collaborative filtering via marginalized denoising auto-encoder
Sheng Li, Jaya Kawale, and Yun Fu · 2015
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Missing data imputation in the electronic health record using deeply learned autoencoders
Brett K Beaulieu-Jones, Jason H Moore, The pooled resource open-access ALS, and clinical trials consortium · 2016
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Yanjie Duan, Yisheng Lv, Wenwen Kang, and Yifei Zhao · 2014
Cited alongside, same era.
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