Divya Singhvi

14 papers A* 3Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Data-Driven Approach to Improve Artisans' Productivity in Distributed Supply Chains.
Oper. Res.
Divya Singhvi, Somya Singhvi, Xinyu Zhang
2025 J jnl
Buying Cheap: Brand Switching During Economic Distress and Its Disparate Impact on Consumers.
Manuf. Serv. Oper. Manag.
Shantanu Dutta, Divya Singhvi, Somya Singhvi
2025 J jnl
Deep Policy Iteration with Integer Programming for Inventory Management.
Manuf. Serv. Oper. Manag.
Pavithra Harsha, Ashish Jagmohan, Jayant Kalagnanam, Brian Quanz, Divya Singhvi
2025 A* conf
Design of Resale Platforms.
EC
Ilan Morgenstern, Daniela Sabán, Divya Singhvi, Somya Singhvi
2025 A* conf
Online Learning for Repeated Nudging.
EC
Anand Kalvit, Divya Singhvi
2025 J jnl
Online Learning with Sample Selection Bias.
Oper. Res.
Divya Singhvi, Somya Singhvi
2024 A* conf
A Data-driven Approach to Improve Artisans' Productivity in Distributed Supply Chains.
EC
Divya Singhvi, Somya Singhvi, Xinyu Zhang
2024 J jnl
Dynamic Pricing with Unknown Nonparametric Demand and Limited Price Changes.
Oper. Res.
Georgia Perakis, Divya Singhvi
2023 J jnl
Ancillary Services in Targeted Advertising: From Prediction to Prescription.
Manuf. Serv. Oper. Manag.
Alison Borenstein, Ankit Mangal, Georgia Perakis, Stefan Poninghaus, Divya Singhvi, Omar Skali Lami, Jiong Wei Lua
2023 J jnl
COVID-19: Prediction, Prevalence, and the Operations of Vaccine Allocation.
Manuf. Serv. Oper. Manag.
Amine Bennouna, Joshua Joseph, David Nze-Ndong, Georgia Perakis, Divya Singhvi, Omar Skali Lami, Yannis Spantidakis, Leann Thayaparan, Asterios Tsiourvas
2023 J jnl
The role of optimization in some recent advances in data-driven decision-making.
Math. Program.
Lennart Baardman, Rares Cristian, Georgia Perakis, Divya Singhvi, Omar Skali Lami, Leann Thayaparan
2022 J jnl
Learning Personalized Product Recommendations with Customer Disengagement.
Manuf. Serv. Oper. Manag.
Hamsa Bastani, Pavithra Harsha, Georgia Perakis, Divya Singhvi
2021 J jnl
Math Programming based Reinforcement Learning for Multi-Echelon Inventory Management.
CoRR
Pavithra Harsha, Ashish Jagmohan, Jayant R. Kalagnanam, Brian Quanz, Divya Singhvi
2015 — conf
Predicting Bike Usage for New York City's Bike Sharing System.
AAAI Workshop: Computational Sustainability
Divya Singhvi, Somya Singhvi, Peter I. Frazier, Shane G. Henderson, Eoin O'Mahony, David B. Shmoys, Dawn B. Woodard