nPlug: An Autonomous Peak Load Controller. - Tanuja Ganu; Deva P. Seetharam; Vijay Arya; Jagabondhu Hazra; Deeksha Sinha; Rajesh Kunnath; Liyanage Chandratilake De Silva; Saiful A. Husain; Shivkumar Kalyanaraman (IEEE J. Sel. Areas Commun., 2013)

Load dependent optimal ON-OFF policies in cellular heterogeneous networks. - Deeksha Sinha; Veeraruna Kavitha; Abhay Karandikar (WiOpt, 2014)

Optimizing Revenue over Data-driven Assortments. - Deeksha Sinha; Theja Tulabandhula (CoRR, 2017)

Optimizing Offer Sets in Sub-Linear Time. - Vivek F. Farias; Andrew A. Li; Deeksha Sinha (EC, 2020)

Recommendations under Multi-Product Purchase Behavior. - Theja Tulabandhula; Deeksha Sinha; Prasoon Patidar (WWW (Companion Volume), 2020)

Optimizing Revenue while showing Relevant Assortments at Scale. - Theja Tulabandhula; Deeksha Sinha (CoRR, 2020)

The Limits to Learning an SIR Process: Granular Forecasting for Covid-19. - Jackie Baek; Vivek F. Farias; Andreea Georgescu; Retsef Levi; Tianyi Peng; Deeksha Sinha; Joshua Wilde; Andrew Zheng (CoRR, 2020)

Multi-Purchase Behavior: Modeling and Optimization. - Theja Tulabandhula; Deeksha Sinha; Prasoon Patidar (CoRR, 2020)

Multi-armed Bandits with Cost Subsidy. - Deeksha Sinha; Karthik Abinav Sankararama; Abbas Kazerouni; Vashist Avadhanula (CoRR, 2020)

Near-Optimal A-B Testing. - Nikhil Bhat; Vivek F. Farias; Ciamac C. Moallemi; Deeksha Sinha (Manag. Sci., 2020)

Multi-Armed Bandits with Cost Subsidy. - Deeksha Sinha; Karthik Abinav Sankararaman; Abbas Kazerouni; Vashist Avadhanula (AISTATS, 2021)

The Limits to Learning a Diffusion Model. - Jackie Baek; Vivek F. Farias; Andreea Georgescu; Retsef Levi; Tianyi Peng; Deeksha Sinha; Joshua Wilde; Andrew Zheng (EC, 2021)

Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms. - Vashist Avadhanula; Omar Abdul Baki; Hamsa Bastani; Osbert Bastani; Caner Gocmen; Daniel Haimovich; Darren Hwang; Dima Karamshuk; Thomas J. Leeper; Jiayuan Ma; Gregory Macnamara; Jake Mullett; et al. (CoRR, 2022)

Optimizing revenue while showing relevant assortments at scale. - Theja Tulabandhula; Deeksha Sinha; Saketh Reddy Karra (Eur. J. Oper. Res., 2022)

Fair Notification Optimization: An Auction Approach. - Christian Kroer; Deeksha Sinha; Xuan Zhang; Shiwen Cheng; Ziyu Zhou (CoRR, 2023)

Scheduling with Uncertain Holding Costs and its Application to Content Moderation. - Caner Gocmen; Thodoris Lykouris; Deeksha Sinha; Wentao Weng (CoRR, 2025)