Deeksha Sinha

According to our database, Deeksha Sinha authored at least 17 papers between 2013 and 2026.

Collaborative distances:

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

2026

Estimate Level Adjustment For Inference With Proxies Under Random Distribution Shifts.

Steven Wilkins-Reeves, Alexandra N. M. Darmon, Deeksha Sinha

CoRR, May, 2026

2025

Scheduling with Uncertain Holding Costs and its Application to Content Moderation.

Caner Gocmen, Thodoris Lykouris, Deeksha Sinha, Wentao Weng

CoRR, May, 2025

2023

Fair Notification Optimization: An Auction Approach.

Christian Kroer, Deeksha Sinha, Xuan Zhang, Shiwen Cheng, Ziyu Zhou

CoRR, 2023

2022

Optimizing revenue while showing relevant assortments at scale.

Theja Tulabandhula, Deeksha Sinha, Saketh Reddy Karra

Eur. J. Oper. Res., 2022

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, Christopher Palow, Sung Park, Varun S. Rajagopal, Kevin Schaeffer, Parikshit Shah, Deeksha Sinha, Nicolás Stier Moses, Peng Xu

CoRR, 2022

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

Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Multi-Armed Bandits with Cost Subsidy.

Deeksha Sinha, Karthik Abinav Sankararaman, Abbas Kazerouni, Vashist Avadhanula

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

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 Sankararama, Abbas Kazerouni, Vashist Avadhanula

CoRR, 2020

Multi-Purchase Behavior: Modeling and Optimization.

Theja Tulabandhula, Deeksha Sinha, Prasoon Patidar

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

Optimizing Revenue while showing Relevant Assortments at Scale.

Theja Tulabandhula, Deeksha Sinha

CoRR, 2020

Recommendations under Multi-Product Purchase Behavior.

Theja Tulabandhula, Deeksha Sinha, Prasoon Patidar

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Optimizing Offer Sets in Sub-Linear Time.

Vivek F. Farias, Andrew A. Li, Deeksha Sinha

Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

2017

Optimizing Revenue over Data-driven Assortments.

Deeksha Sinha, Theja Tulabandhula

CoRR, 2017

2014

Load dependent optimal ON-OFF policies in cellular heterogeneous networks.

Deeksha Sinha, Veeraruna Kavitha, Abhay Karandikar

Proceedings of the 12th International Symposium on Modeling and Optimization in Mobile, 2014

2013

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