Minimax robust active learning for approximately specified regression models

DOI10.1002/CJS.11327zbMath1466.62325OpenAlexW2742855836MaRDI QIDQ4960910

Zhichun Zhai, Douglas P. Wiens, Rui Nie

Publication date: 24 April 2020

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.11327

zbMATH Keywords

minimaxinfluencebiasmodel uncertaintyleverageexperimental designapproximate linearitysampling variationpassive learning

Mathematics Subject Classification ID

Nonparametric robustness (62G35) Design of statistical experiments (62K99) Statistical sampling theory and related topics (62D99) Learning and adaptive systems in artificial intelligence (68T05) Statistical aspects of big data and data science (62R07)

Related Items (4)

Robust active learning with binary responses ⋮ Sequential online subsampling for thinning experimental designs ⋮ Robust optimal designs using a model misspecification term ⋮ Unweighted estimation based on optimal sample under measurement constraints

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