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Deeksha Sinha
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Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms


Nov 11, 2022
Vashist Avadhanula, Omar Abdul Baki, Hamsa Bastani, Osbert Bastani, Caner Gocmen, Daniel Haimovich, Darren Hwang, Dima Karamshuk, Thomas Leeper, Jiayuan Ma, Gregory Macnamara, Jake Mullett, Christopher Palow, Sung Park, Varun S Rajagopal, Kevin Schaeffer, Parikshit Shah, Deeksha Sinha, Nicolas Stier-Moses, Peng Xu

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Optimizing Offer Sets in Sub-Linear Time


Nov 17, 2020
Vivek F. Farias, Andrew A. Li, Deeksha Sinha

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* 30 pages, 3 figures. Proceedings of the 21st ACM Conference on Economics and Computation. 2020 
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Multi-armed Bandits with Cost Subsidy


Nov 13, 2020
Deeksha Sinha, Karthik Abinav Sankararama, Abbas Kazerouni, Vashist Avadhanula

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Multi-Purchase Behavior: Modeling and Optimization


Jun 14, 2020
Theja Tulabandhula, Deeksha Sinha, Prasoon Patidar

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* 40 pages 
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The Limits to Learning an SIR Process: Granular Forecasting for Covid-19


Jun 11, 2020
Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng

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Optimizing Revenue while showing Relevant Assortments at Scale


Mar 06, 2020
Theja Tulabandhula, Deeksha Sinha

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* arXiv admin note: substantial text overlap with arXiv:1708.05510 
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