Divya Singhvi
Divya Singhvi
Leonard N Stern School of Business
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Cited by
Cited by
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
Predicting Bike Usage for New York City's Bike Sharing System.
D Singhvi, S Singhvi, PI Frazier, SG Henderson, E O'Mahony, DB Shmoys, ...
AAAI Workshop: Computational Sustainability, 2015
Leveraging comparables for new product sales forecasting
L Baardman, I Levin, G Perakis, D Singhvi
Available at SSRN 3086237, 2017
The united states covid-19 forecast hub dataset
EY Cramer, Y Huang, Y Wang, EL Ray, M Cornell, J Bracher, A Brennen, ...
Scientific data 9 (1), 462, 2022
Learning personalized product recommendations with customer disengagement
H Bastani, P Harsha, G Perakis, D Singhvi
Manufacturing & Service Operations Management 24 (4), 2010-2028, 2022
COVID‐19: A multiwave SIR‐based model for learning waves
G Perakis, D Singhvi, O Skali Lami, L Thayaparan
Production and Operations Management 32 (5), 1471-1489, 2023
Dynamic pricing with unknown nonparametric demand and limited price changes
G Perakis, D Singhvi
Operations Research, 2023
COVID-19: Prediction, prevalence, and the operations of vaccine allocation
A Bennouna, J Joseph, D Nze-Ndong, G Perakis, D Singhvi, OS Lami, ...
Manufacturing & Service Operations Management 25 (3), 1013-1032, 2023
Leveraging the newsvendor for inventory distribution at a large fashion e-retailer with depth and capacity constraints
G Perakis, D Singhvi, Y Spantidakis
Available at SSRN 3632459, 2020
The role of optimization in some recent advances in data-driven decision-making
L Baardman, R Cristian, G Perakis, D Singhvi, O Skali Lami, ...
Mathematical Programming 200 (1), 1-35, 2023
Ancillary Services in Targeted Advertising: From Prediction to Prescription
A Borenstein, A Mangal, G Perakis, S Poninghaus, D Singhvi, ...
Manufacturing & Service Operations Management, 2023
Math programming based reinforcement learning for multi-echelon inventory management
P Harsha, A Jagmohan, J Kalagnanam, B Quanz, D Singhvi
Available at SSRN 3901070, 2021
Xstrees: A tree sampling framework for interpretable tree ensembles
G Perakis, D Singhvi, O Skali-Lami
Available at SSRN, 2019
First Delivery Gaps: A Supply Chain Lever to Reduce Product Returns in Online Retail
G Perakis, D Singhvi
Available at SSRN 3360554, 2019
Online Learning with Sample Selection Bias
D Singhvi, S Singhvi
Available at SSRN, 2022
A Data-driven Approach to Improve Artisans' Productivity in Distributed Supply Chains
D Singhvi, S Singhvi, X Zhang
Available at SSRN 4531090, 2023
Combining math-programming and reinforcement learning for problems with known transition dynamics
P Harsha, A Jagmohan, BL Quanz, D Singhvi
US Patent App. 17/751,625, 2023
Increasing Charity Donations: A Bandit Learning Approach
D Singhvi, S Singhvi
Increasing Charity Donations: A Bandit Learning Approach: Singhvi, Divya …, 2022
Buying Cheap: Brand Switching During Economic Distress and Its Disparate Impact on Consumers
S Dutta, D Singhvi, S Singhvi
Buying Cheap: Brand Switching During Economic Distress and Its Disparate …, 2022
Data-driven decision making in online and offline retail
D Singhvi
Massachusetts Institute of Technology, 2020
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