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Deeksha Sinha
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2020 – today
- 2023
- [i8]Christian Kroer, Deeksha Sinha, Xuan Zhang, Shiwen Cheng, Ziyu Zhou:
Fair Notification Optimization: An Auction Approach. CoRR abs/2302.04835 (2023) - 2022
- [j3]Theja Tulabandhula, Deeksha Sinha, Saketh Reddy Karra:
Optimizing revenue while showing relevant assortments at scale. Eur. J. Oper. Res. 300(2): 561-570 (2022) - [i7]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:
Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms. CoRR abs/2211.06516 (2022) - 2021
- [c5]Deeksha Sinha, Karthik Abinav Sankararaman, Abbas Kazerouni, Vashist Avadhanula:
Multi-Armed Bandits with Cost Subsidy. AISTATS 2021: 3016-3024 - [c4]Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng:
The Limits to Learning a Diffusion Model. EC 2021: 130-131 - 2020
- [j2]Nikhil Bhat, Vivek F. Farias, Ciamac C. Moallemi, Deeksha Sinha:
Near-Optimal A-B Testing. Manag. Sci. 66(10): 4477-4495 (2020) - [c3]Vivek F. Farias, Andrew A. Li, Deeksha Sinha:
Optimizing Offer Sets in Sub-Linear Time. EC 2020: 639-640 - [c2]Theja Tulabandhula, Deeksha Sinha, Prasoon Patidar:
Recommendations under Multi-Product Purchase Behavior. WWW (Companion Volume) 2020: 94-95 - [i6]Theja Tulabandhula, Deeksha Sinha:
Optimizing Revenue while showing Relevant Assortments at Scale. CoRR abs/2003.04736 (2020) - [i5]Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng:
The Limits to Learning an SIR Process: Granular Forecasting for Covid-19. CoRR abs/2006.06373 (2020) - [i4]Theja Tulabandhula, Deeksha Sinha, Prasoon Patidar:
Multi-Purchase Behavior: Modeling and Optimization. CoRR abs/2006.08055 (2020) - [i3]Deeksha Sinha, Karthik Abinav Sankararama, Abbas Kazerouni, Vashist Avadhanula:
Multi-armed Bandits with Cost Subsidy. CoRR abs/2011.01488 (2020) - [i2]Vivek F. Farias, Andrew A. Li, Deeksha Sinha:
Optimizing Offer Sets in Sub-Linear Time. CoRR abs/2011.08606 (2020)
2010 – 2019
- 2017
- [i1]Deeksha Sinha, Theja Tulabandhula:
Optimizing Revenue over Data-driven Assortments. CoRR abs/1708.05510 (2017) - 2014
- [c1]Deeksha Sinha, Veeraruna Kavitha, Abhay Karandikar:
Load dependent optimal ON-OFF policies in cellular heterogeneous networks. WiOpt 2014: 159-166 - 2013
- [j1]Tanuja Ganu, Deva P. Seetharam, Vijay Arya, Jagabondhu Hazra, Deeksha Sinha, Rajesh Kunnath, Liyanage Chandratilake De Silva, Saiful A. Husain, Shivkumar Kalyanaraman:
nPlug: An Autonomous Peak Load Controller. IEEE J. Sel. Areas Commun. 31(7): 1205-1218 (2013)
Coauthor Index
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