MIDA: Multiple Imputation Using Denoising Autoencoders

Lovedeep Gondara, Ke Wang

Type: Book-Chapter

Publication Date: 2018-01-01

Citations: 219

DOI: https://doi.org/10.1007/978-3-319-93040-4_21

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Lecture notes in computer science - View
arXiv (Cornell University) - View - PDF

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Works Cited by This (9)

Action	Title	Year	Authors
+	Missing-Data Adjustments in Large Surveys	1988	Roderick J. A. Little
+	Statistical Analysis With Missing Data	1989	Maureen Lahiff Roderick J. A. Little Donald B. Rubin
+ PDF Chat	Tuning multiple imputation by predictive mean matching and local residual draws	2014	Tim P. Morris Ian R. White Patrick Royston
+	Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls	2009	Jonathan A C Sterne Ian R. White John B. Carlin Michael Spratt Patrick Royston Michael G. Kenward Angela Wood James R. Carpenter
+	Inference and missing data	1976	Donald B. Rubin
+	<b>mice</b>: Multivariate Imputation by Chained Equations in<i>R</i>	2011	Stef van Buuren Catharina G. M. Groothuis‐Oudshoorn
+	Optimization Algorithms on Subspaces: Revisiting Missing Data Problem in Low-Rank Matrix	2008	Pei Chen
+	Multiple imputation: a primer	1999	Joseph L. Schafer
+	Generalized Denoising Auto-Encoders as Generative Models	2013	Yoshua Bengio Li Yao Guillaume Alain Pascal Vincent