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Journal Articles
- 2024
[j5]Georgia Perakis
, Divya Singhvi:
Dynamic Pricing with Unknown Nonparametric Demand and Limited Price Changes. Oper. Res. 72(6): 2726-2744 (2024)- 2023
- [j4]Lennart Baardman, Rares Cristian, Georgia Perakis, Divya Singhvi, Omar Skali Lami, Leann Thayaparan:
The role of optimization in some recent advances in data-driven decision-making. Math. Program. 200(1): 1-35 (2023) - [j3]Amine Bennouna, Joshua Joseph, David Nze-Ndong, Georgia Perakis, Divya Singhvi, Omar Skali Lami, Yannis Spantidakis, Leann Thayaparan, Asterios Tsiourvas:
COVID-19: Prediction, Prevalence, and the Operations of Vaccine Allocation. Manuf. Serv. Oper. Manag. 25(3): 1013-1032 (2023) - [j2]Alison Borenstein, Ankit Mangal, Georgia Perakis, Stefan Poninghaus, Divya Singhvi, Omar Skali Lami, Jiong Wei Lua:
Ancillary Services in Targeted Advertising: From Prediction to Prescription. Manuf. Serv. Oper. Manag. 25(4): 1285-1303 (2023) - 2022
- [j1]Hamsa Bastani, Pavithra Harsha, Georgia Perakis, Divya Singhvi:
Learning Personalized Product Recommendations with Customer Disengagement. Manuf. Serv. Oper. Manag. 24(4): 2010-2028 (2022)
Conference and Workshop Papers
- 2024
- [c2]Divya Singhvi, Somya Singhvi, Xinyu Zhang:
A Data-driven Approach to Improve Artisans' Productivity in Distributed Supply Chains. EC 2024: 244-245 - 2015
- [c1]Divya Singhvi, Somya Singhvi, Peter I. Frazier, Shane G. Henderson, Eoin O'Mahony, David B. Shmoys, Dawn B. Woodard:
Predicting Bike Usage for New York City's Bike Sharing System. AAAI Workshop: Computational Sustainability 2015
Informal and Other Publications
- 2021
- [i1]Pavithra Harsha, Ashish Jagmohan, Jayant R. Kalagnanam, Brian Quanz, Divya Singhvi:
Math Programming based Reinforcement Learning for Multi-Echelon Inventory Management. CoRR abs/2112.02215 (2021)
Coauthor Index
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