Details of Research Outputs

TitleOn Data-Driven Multi-Product Pricing
Author (Name in English or Pinyin)
Wang, T.1; Wu, C.2; Qi, W.1
Date Issued2021-11-01
Source PublicationIEEE Control Systems Letters
ISSN24751456
DOI10.1109/LCSYS.2020.3043591
Education discipline科技类
Published range国外学术期刊
Volume Issue Pages卷: 5 期: 5 页: 1687-1692
References
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[3] A. Lim, J. G. Shanthikumar, and T. Watewai. Robust Multi-Product Pricing. Accessed: Nov. 2020. [Online]. Available: https://ssrn. com/ abstract=1078012
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[7] P. Donti, B. Amos, and J. Z. Kolter, "Task-based end-to-end model learning in stochastic optimization, " in Advances in Neural Information Processing Systems 30. Red Hook, NY, USA: Curran Assoc., Inc., 2017, pp. 5484-5494.
[8] L. H. Liyanage and J. G. Shanthikumar, "A practical inventory control policy using operational statistics, " Oper. Res. Lett., vol. 33, no. 4, pp. 341-348, 2005.
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[10] T. Tulabandhula and C. Rudin, "Machine learning with operational costs, " J. Mach. Learn. Res., vol. 14, no. 1, pp. 1989-2028, 2013.
[11] T. Zhu, J. Xie, and M. Sim. Joint Estimation and Robustness Optimization. Accessed: Nov. 2020. [Online]. Available: https://ssrn. com/abstract=3335889
[12] O. Besbes and A. Zeevi, "On the (surprising) sufficiency of linear models for dynamic pricing with demand learning, " Manag. Sci., vol. 61, no. 4, pp. 723-739, 2015.
[13] G.-Y. Ban and C. Rudin, "The big data newsvendor: Practical insights from machine learning, " Oper. Res., vol. 67, no. 1, pp. 90-108, 2019.
[14] D. Bertsimas and N. Kallus, "From predictive to prescriptive analytics, " Manag. Sci., vol. 66, no. 3, pp. 1025-1044, 2020.
[15] J.-M. Chen and T.-H. Chen, "The profit-maximization model for a multiitem distribution channel, " Transp. Res E, Logist. Transp. Rev., vol. 43, no. 4, pp. 338-354, 2007.
[16] M. Mohri, A. Rostamizadeh, and A. Talwalkar, Foundations of Machine Learning. Cambridge, U. K. : MIT press, 2018.
[17] A. Ben-Tal, L. El Ghaoui, and A. Nemirovski, Robust Optimization. Princeton, NJ, USA: Princeton Univ. Press, 2009, vol. 28.
[18] D. Bersimas and M. S. Copenhaver, "Characterization of the equivalence of robustification and regularization in linear and matrix regression, " Eur. J. Oper. Res., vol. 270, no. 3, pp. 931-942, 2018.
[19] J. Schmidt-Hieber, "Nonparametric regression using deep neural networks with ReLU activation function, " Ann. Stat., vol. 48, no. 4, pp. 1875-1897, 2020.
[20] J. de Dios and J. Bruna. On Sparsity in Overparametrised Shallow ReLU Networks. Accessed: Nov. 2020. [Online]. Available: https://arxiv. org/ abs/2006. 10225
[21] T. H. A. Bijmolt, H. J. van Heerde, and R. G. M. Pieters, "New empirical generalizations on the determinants of price elasticity, " J. Marketing Res., vol. 42, no. 2, pp. 141-156, 2005.
[22] Source Code of Simulation at GitHub. Accessed: Nov. 2020. [Online]. Available: https://github. com/wangtianyu61/Learning-Framework-in-Multi-product-Pricing
Citation statistics
Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttps://irepository.cuhk.edu.cn/handle/3EPUXD0A/2079
CollectionSchool of Science and Engineering
Corresponding AuthorWu, C.
Affiliation
1.School of Economics and Management, Tsinghua University, Beijing, China
2.School of Science and Engineering, The Chinese University of Hong Kong Shenzhen, Shenzhen, China
Corresponding Author AffilicationSchool of Science and Engineering
Recommended Citation
GB/T 7714
Wang, T.,Wu, C.,Qi, W. On Data-Driven Multi-Product Pricing[J]. IEEE Control Systems Letters,2021.
APA Wang, T., Wu, C., & Qi, W. (2021). On Data-Driven Multi-Product Pricing. IEEE Control Systems Letters.
MLA Wang, T.,et al."On Data-Driven Multi-Product Pricing".IEEE Control Systems Letters (2021).
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