Cascading Non-Stationary Bandits: Online Learning to Rank in the
Non-Stationary Cascade Model

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Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model

29 May 2019

Maarten de Rijke

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Papers citing "Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model"

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Title
BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale Randy Ardywibowo Rakesh Sunki Lucy Kuo Sankalp Nayak BDL 73 0 0 03 Oct 2024
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments Yash Chandak Shiv Shankar Nathaniel D. Bastian Bruno Castro da Silva Emma Brunskil Philip S. Thomas OffRL 115 6 0 24 Jan 2023
Minimax Regret for Cascading Bandits Daniel Vial Sujay Sanghavi Sanjay Shakkottai R. Srikant 105 14 0 23 Mar 2022
Optimizing Ranking Systems Online as Bandits Chang Li OffRL 30 0 0 12 Oct 2021
On Learning to Rank Long Sequences with Contextual Bandits Anirban Santara Claudio Gentile Gaurav Aggarwal Shuai Li 61 0 0 07 Jun 2021
Learning Product Rankings Robust to Fake Users Negin Golrezaei Vahideh H. Manshadi Jon Schneider S. Sekar 93 30 0 10 Sep 2020
Optimizing for the Future in Non-Stationary MDPs Yash Chandak Georgios Theocharous Shiv Shankar Martha White Sridhar Mahadevan Philip S. Thomas OffRL 157 65 0 17 May 2020
Inference for Batched Bandits Kelly W. Zhang Lucas Janson Susan Murphy 183 89 0 08 Feb 2020
Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity Chang Li Haoyun Feng Maarten de Rijke 44 1 0 01 Dec 2019
Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits Lingda Wang Huozhi Zhou Bingcong Li Lav Varshney Zhizhen Zhao 73 6 0 12 Sep 2019