Divya Singhvi

According to our database, Divya Singhvi authored at least 12 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Deep Policy Iteration with Integer Programming for Inventory Management.

Pavithra Harsha, Ashish Jagmohan, Jayant Kalagnanam, Brian Quanz, Divya Singhvi

Manuf. Serv. Oper. Manag., 2025

Buying Cheap: Brand Switching During Economic Distress and Its Disparate Impact on Consumers.

Shantanu Dutta, Divya Singhvi, Somya Singhvi

Manuf. Serv. Oper. Manag., 2025

Design of Resale Platforms.

Ilan Morgenstern, Daniela Sabán, Divya Singhvi, Somya Singhvi

Proceedings of the 26th ACM Conference on Economics and Computation, 2025

Online Learning for Repeated Nudging.

Anand Kalvit, Divya Singhvi

Proceedings of the 26th ACM Conference on Economics and Computation, 2025

2024

Dynamic Pricing with Unknown Nonparametric Demand and Limited Price Changes.

Georgia Perakis, Divya Singhvi

Oper. Res., 2024

A Data-driven Approach to Improve Artisans' Productivity in Distributed Supply Chains.

Divya Singhvi, Somya Singhvi, Xinyu Zhang

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

2023

Ancillary Services in Targeted Advertising: From Prediction to Prescription.

Alison Borenstein, Ankit Mangal, Georgia Perakis, Stefan Poninghaus, Divya Singhvi, Omar Skali Lami, Jiong Wei Lua

Manuf. Serv. Oper. Manag., July, 2023

COVID-19: Prediction, Prevalence, and the Operations of Vaccine Allocation.

Amine Bennouna, Joshua Joseph, David Nze-Ndong, Georgia Perakis, Divya Singhvi, Omar Skali Lami, Yannis Spantidakis, Leann Thayaparan, Asterios Tsiourvas

Manuf. Serv. Oper. Manag., May, 2023

The role of optimization in some recent advances in data-driven decision-making.

Lennart Baardman, Rares Cristian, Georgia Perakis, Divya Singhvi, Omar Skali Lami, Leann Thayaparan

Math. Program., 2023

2022

Learning Personalized Product Recommendations with Customer Disengagement.

Hamsa Bastani, Pavithra Harsha, Georgia Perakis, Divya Singhvi

Manuf. Serv. Oper. Manag., 2022

2021

Math Programming based Reinforcement Learning for Multi-Echelon Inventory Management.

Pavithra Harsha, Ashish Jagmohan, Jayant R. Kalagnanam, Brian Quanz, Divya Singhvi

CoRR, 2021

2015

Predicting Bike Usage for New York City's Bike Sharing System.

Divya Singhvi, Somya Singhvi, Peter I. Frazier, Shane G. Henderson, Eoin O'Mahony, David B. Shmoys, Dawn B. Woodard

Proceedings of the Computational Sustainability, 2015