Feature-Rich, Data-Private: A Sparse Learning Framework for the High-Dimensional Newsvendor

• Jinyuan Chang

  Jinyuan Chang

  [email protected]

  https://orcid.org/0000-0001-7933-4449

  Joint Laboratory of Data Science and Business Intelligence, Institute of Statistical Interdisciplinary Research, Southwestern University of Finance and Economics, Chengdu 611130, China; and State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China

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• Lin Yang

  Lin Yang

  [email protected]

  https://orcid.org/0009-0005-8789-1786

  Joint Laboratory of Data Science and Business Intelligence, Institute of Statistical Interdisciplinary Research, Southwestern University of Finance and Economics, Chengdu 611130, China

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• Yichen Zhang

  Yichen Zhang

  [email protected]

  https://orcid.org/0009-0009-1175-7846

  Daniels School of Business, Purdue University, West Lafayette, Indiana 47907

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• Wen-Xin Zhou

  Corresponding Author

  Wen-Xin Zhou

  [email protected]

  https://orcid.org/0000-0002-2761-485X

  College of Business Administration, University of Illinois Chicago, Chicago, Illinois 60607

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