Transfer learning with high dimensional composite quantile regression

References

• Tibshirani R. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society: Series B (Methodological). 1996;58(1):267–288. doi: 10.1111/j.2517-6161.1996.tb02080.x
   Web of Science ®Google Scholar
• Fan J, Li R. Variable selection via nonconcave penalized likelihood and its oracle properties. J Am Stat Assoc. 2001;96(456):1348–1360. doi: 10.1198/016214501753382273
   Web of Science ®Google Scholar
• Zou H, Yuan M. Composite quantile regression and the oracle model selection theory. Ann Statist. 2008;36(3):1108–1126. doi: 10.1214/07-AOS507
   Web of Science ®Google Scholar
• Pietrosanu M, Gao J, Kong L, et al. Advanced algorithms for penalized quantile and composite quantile regression. Comput Stat. 2021;36(1):333–346. doi: 10.1007/s00180-020-01010-1
   Web of Science ®Google Scholar
• Gu Y, Zou H. Sparse composite quantile regression in ultrahigh dimensions with tuning parameter calibration. IEEE Trans Inform Theory. 2020;66(11):7132–7154. doi: 10.1109/TIT.18
   Web of Science ®Google Scholar
• Moon H, Zhou WX. High-dimensional composite quantile regression: optimal statistical guarantees and fast algorithms. Preprint, arXiv:2208.09817. 2022.
   Google Scholar
• Torrey L, Shavlik J. Transfer learning. In: Klinger K, Snavely J, editors. Handbook of research on machine learning applications and trends: algorithms, methods, and techniques. New York: IGI global; 2010. p. 242–264. doi: 10.4018/978-1-60566-766-9.ch011
   Google Scholar
• Weiss K, Khoshgoftaar TM, Wang D. A survey of transfer learning. J Big Data. 2016;3(1):1–40. doi: 10.1186/s40537-016-0043-6
   Google Scholar
• Shojaie M, Cabrerizo M, DeKosky ST, et al. A transfer learning approach based on gradient boosting machine for diagnosis of Alzheimer's disease. Front Aging Neurosci. 2022;14:966883. doi: 10.3389/fnagi.2022.966883
   PubMed Web of Science ®Google Scholar
• Ghazal TM, Issa G. Alzheimer disease detection empowered with transfer learning. Comput Mater Continua. 2022;70(3):5005–5019. doi: 10.32604/cmc.2022.020866
   Web of Science ®Google Scholar
• Zhao X, Li K, Li Y, et al. Identification method of vegetable diseases based on transfer learning and attention mechanism. Comput Electron Agric. 2022;193:106703. doi: 10.1016/j.compag.2022.106703
   Web of Science ®Google Scholar
• Ruder S, Peters ME, Swayamdipta S, et al. Transfer learning in natural language processing. In: Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: tutorials; 2019. p. 15–18.
   Google Scholar
• Bastani H. Predicting with proxies: transfer learning in high dimension. Manage Sci. 2021;67(5):2964–2984. doi: 10.1287/mnsc.2020.3729
   Web of Science ®Google Scholar
• Li S, Cai TT, Li H. Transfer learning for high-dimensional linear regression: prediction, estimation and minimax optimality. J R Stat Soc Ser B Stat Methodol. 2022;84(1):149–173. doi: 10.1111/rssb.12479
   PubMed Web of Science ®Google Scholar
• Tian Y, Feng Y. Transfer learning under high-dimensional generalized linear models. J Am Stat Assoc. 2022;1:1–14.
   Google Scholar
• Sun F, Zhang Q. Robust transfer learning of high-dimensional generalized linear model. Phys A Stat Mech Appl. 2023;618:128674. doi: 10.1016/j.physa.2023.128674
   Google Scholar
• Gu T, Han Y, Duan R. Robust angle-based transfer learning in high dimensions. Preprint, arXiv:2210.12759. 2022.
   Google Scholar
• Huang J, Wang M, Wu Y. Transfer learning with high-dimensional quantile regression. Preprint, arXiv:2211.14578. 2022.
   Google Scholar
• Zhang Y, Zhu Z. Transfer learning for high-dimensional quantile regression via convolution smoothing. Preprint, arXiv:2212.00428. 2022.
   Google Scholar
• Jun J, Jun Y, Kun C. Transfer learning with quantile regression. Preprint, arXiv:2212.06693. 2022.
   Google Scholar
• Fan J, Li Q, Wang Y. Estimation of high dimensional mean regression in the absence of symmetry and light tail assumptions. J R Stat Soc Series B Stat Methodol. 2017;79(1):247–265. doi: 10.1111/rssb.12166
   PubMed Web of Science ®Google Scholar
• Sun Q, Zhou WX, Fan J. Adaptive Huber regression. J Am Stat Assoc. 2020;115(529):254–265. doi: 10.1080/01621459.2018.1543124
   PubMed Web of Science ®Google Scholar
• Koenker R, Hallock KF. Quantile regression. J Econom Perspect. 2001;15(4):143–156. doi: 10.1257/jep.15.4.143
   Web of Science ®Google Scholar
• Koenker R, Bassett G. Regression quantiles. Econom J Econom Soc. 1978;1:33–50. doi: 10.2307/1913643
   Google Scholar