Active matrix factorization for surveys

DOI10.1214/20-AOAS1322zbMath1470.62183arXiv1902.07634OpenAlexW3089125907MaRDI QIDQ2044242

Jasjeet Sekhon, Curtiss Cobb, Sean J. Taylor, Chelsea Zhang

Publication date: 4 August 2021

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1902.07634

zbMATH Keywords

optimal designmatrix factorizationactive learningmultidimensional adaptive testingadaptive surveyssurvey imputation

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Factorization of matrices (15A23) Applications of statistics to social sciences (62P25) Learning and adaptive systems in artificial intelligence (68T05) Missing data (62D10)

Related Items

Matrix completion under complex survey sampling

Uses Software

• missMDA
• softImpute
• rstanarm
• Edward
• fancyimpute

Cites Work

• Unnamed Item
• Unnamed Item
• Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares
• The Multiple Adaptations of Multiple Imputation
• A survey of active learning in collaborative filtering recommender systems
• Adaptive multinomial matrix completion
• Multidimensional adaptive testing with optimal design criteria for item selection
• Bayesian experimental design: A review
• Flexible low-rank statistical modeling with missing data and side information
• Exact matrix completion via convex optimization
• Why Are Big Data Matrices Approximately Low Rank?
• 1-Bit matrix completion
• A Simpler Approach to Matrix Completion
• Restricted strong convexity and weighted matrix completion: Optimal bounds with noise