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    Author information
    First name: Shipra
    Last name: Agrawal
    DBLP: a/ShipraAgrawal
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    Below you find the publications which have been written by this author.

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    Conference paper
    Shipra Agrawal, Randy Jia.
    Posterior sampling for reinforcement learning: worst-case regret bounds.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf J. Zeevi.
    Thompson Sampling for the MNL-Bandit.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf J. Zeevi.
    MNL-Bandit: A Dynamic Learning Approach to Assortment Selection.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf J. Zeevi.
    Thompson Sampling for the MNL-Bandit.
    Proceedings of the 30th Conference on Learning Theory, COLT 2017, Amsterdam, The Netherlands, 7-10 July 2017 2017 (0) 2017
    Journal article
    Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvári, Steffen Grünewälder.
    Bandits with Delayed Anonymous Feedback.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Shipra Agrawal, Nikhil R. Devanur, Lihong Li.
    An efficient algorithm for contextual bandits with knapsacks, and an extension to concave objectives.
    Proceedings of the 29th Conference on Learning Theory, COLT 2016, New York, USA, June 23-26, 2016 2016 (0) 2016
    Conference paper
    Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf J. Zeevi.
    A Near-Optimal Exploration-Exploitation Approach for Assortment Selection.
    Proceedings of the 2016 ACM Conference on Economics and Computation, EC '16, Maastricht, The Netherlands, July 24-28, 2016 2016 (0) 2016
    Conference paper
    Shipra Agrawal, Nikhil R. Devanur.
    Linear Contextual Bandits with Knapsacks.
    Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain 2016 (0) 2016
    Conference paper
    Shipra Agrawal, Nikhil R. Devanur.
    Fast Algorithms for Online Stochastic Convex Programming.
    Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2015, San Diego, CA, USA, January 4-6, 2015 2015 (0) 2015
    Journal article
    Shipra Agrawal, Nikhil R. Devanur, Lihong Li.
    Contextual Bandits with Global Constraints and Objective.
    CoRR 2015, Volume 0 (0) 2015
    Show item 1 to 10 of 43  

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