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 (AAAI Workshop: Computational Sustainability, 2015)

Math Programming based Reinforcement Learning for Multi-Echelon Inventory Management. - Pavithra Harsha; Ashish Jagmohan; Jayant R. Kalagnanam; Brian Quanz; Divya Singhvi (CoRR, 2021)

Learning Personalized Product Recommendations with Customer Disengagement. - Hamsa Bastani; Pavithra Harsha; Georgia Perakis; Divya Singhvi (Manuf. Serv. Oper. Manag., 2022)

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)

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., 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., 2023)

A Data-driven Approach to Improve Artisans' Productivity in Distributed Supply Chains. - Divya Singhvi; Somya Singhvi; Xinyu Zhang (EC, 2024)

Dynamic Pricing with Unknown Nonparametric Demand and Limited Price Changes. - Georgia Perakis; Divya Singhvi (Oper. Res., 2024)

Online Learning for Repeated Nudging. - Anand Kalvit; Divya Singhvi (EC, 2025)

Design of Resale Platforms. - Ilan Morgenstern; Daniela Sabán; Divya Singhvi; Somya Singhvi (EC, 2025)

Buying Cheap: Brand Switching During Economic Distress and Its Disparate Impact on Consumers. - Shantanu Dutta 001; Divya Singhvi; Somya Singhvi (Manuf. Serv. Oper. Manag., 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)