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Vashist Avadhanula

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Fully Dynamic Online Selection through Online Contention Resolution Schemes

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Jan 08, 2023
Vashist Avadhanula, Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi, Matteo Russo

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

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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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Top $K$ Ranking for Multi-Armed Bandit with Noisy Evaluations

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Dec 14, 2021
Evrard Garcelon, Vashist Avadhanula, Alessandro Lazaric, Matteo Pirotta

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QUEST: Queue Simulation for Content Moderation at Scale

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Mar 31, 2021
Rahul Makhijani, Parikshit Shah, Vashist Avadhanula, Caner Gocmen, Nicolás E. Stier-Moses, Julián Mestre

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Stochastic Bandits for Multi-platform Budget Optimization in Online Advertising

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Mar 25, 2021
Vashist Avadhanula, Riccardo Colini-Baldeschi, Stefano Leonardi, Karthik Abinav Sankararaman, Okke Schrijvers

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Improved Optimistic Algorithm For The Multinomial Logit Contextual Bandit

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Nov 28, 2020
Priyank Agrawal, Vashist Avadhanula, Theja Tulabandhula

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Multi-armed Bandits with Cost Subsidy

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

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Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints

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Nov 02, 2019
Samuel Daulton, Shaun Singh, Vashist Avadhanula, Drew Dimmery, Eytan Bakshy

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Thompson Sampling for the MNL-Bandit

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Oct 31, 2018
Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi

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MNL-Bandit: A Dynamic Learning Approach to Assortment Selection

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Jun 29, 2018
Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi

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