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In this work, we study the transfer learning problem under high-dimensional generalized linear models (GLMs), which aim to improve the fit on target data by borrowing information from useful source data.
On data enriched logistic regression
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Regularization paths for generalized linear models via coordinate descent
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Li, S., Cai, T. T., and Li, H. (2020) · 2010
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Torrey, L. and Shavlik, J. (2010) · 2010
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Weiss, K., Khoshgoftaar, T. M., and Wang, D. (2016) · 2016
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High-dimensional probability: An introduction with applications in data science
Vershynin, R. (2018) · 2018
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Wang, Z., Qin, Z., Tang, X., Ye, J., and Zhu, H. (2018) · 2018
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Data enriched linear regression
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