Web: http://arxiv.org/abs/2206.07769

June 17, 2022, 1:12 a.m. | Daniel Jarrett, Bogdan Cebere, Tennison Liu, Alicia Curth, Mihaela van der Schaar

stat.ML updates on arXiv.org arxiv.org

Consider the problem of imputing missing values in a dataset. One the one
hand, conventional approaches using iterative imputation benefit from the
simplicity and customizability of learning conditional distributions directly,
but suffer from the practical requirement for appropriate model specification
of each and every variable. On the other hand, recent methods using deep
generative modeling benefit from the capacity and efficiency of learning with
neural network function approximators, but are often difficult to optimize and
rely on stronger data assumptions. …

arxiv imputation iterative ml model model selection

More from arxiv.org / stat.ML updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY