Abstract

The journal is pleased to publish the abstracts of the winner and finalists of the 2020 Applied Probability Society’s student paper competition. The 2020 student paper prize committee was chaired by Amy Ward. The 2020 committee members are (in alphabetical order by last name): Alessandro Arlotto, Sayan Banerjee, Junfei Huang, Jefferson Huang, Rouba Ibrahim, Peter Jacko, Henry Lam, Nan Liu, Yunan Liu, Siva Theja Maguluri, Giang Nguyen, Mariana Olvera-Cravioto, Lerzan Örmeci, Erhun Özkan, Jamol Pender, Weina Wang, Amy Ward (chair), Linwei Xin, Kuang Xu, Galit Yom-Tov, Assaf Zeevi, Jiheng Zhang, Zeyu Zheng, Yuan Zhong, Enlu Zhou, and Serhan Ziya.

Highlights

  • The Publisher does not warrant or guarantee the article’s accuracy, completeness, merchantability, fitness for a particular purpose, or non-infringement

  • The 2020 student paper prize committee was chaired by Amy Ward

  • We study a nonparametric contextual bandit problem where the expected reward functions belong to a Holder class with smoothness parameter β

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Summary

Stochastic Systems

Publication details, including instructions for authors and subscription information: http://pubsonline.informs.org. Applied Probability Society Student Paper Competition: Abstracts of 2020 Finalists. To cite this article: (2021) Applied Probability Society Student Paper Competition: Abstracts of 2020 Finalists. Full terms and conditions of use: https://pubsonline.informs.org/Publications/Librarians-Portal/PubsOnLine-Terms-andConditions. Descriptions of, or references to, products or publications, or inclusion of an advertisement in this article, neither constitutes nor implies a guarantee, endorsement, or support of claims made of that product, publication, or service. With 12,500 members from nearly 90 countries, INFORMS is the largest international association of operations research (O.R.) and analytics professionals and students. INFORMS provides unique networking and learning opportunities for individual professionals, and organizations of all types and sizes, to better understand and use O.R. and analytics tools and methods to transform strategic visions and achieve better outcomes. For more information on INFORMS, its publications, membership, or meetings visit http://www.informs.org http://pubsonline.informs.org/journal/stsy

STOCHASTIC SYSTEMS
Correlated Randomly Growing Graphs
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