Cascading Bandits: Learning to Rank in the Cascade Model

Cascading Bandits: Learning to Rank in the Cascade Model

10 February 2015

Branislav Kveton

Csaba Szepesvári

Papers citing "Cascading Bandits: Learning to Rank in the Cascade Model"

12 / 12 papers shown

Title
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond Xutong Liu Siwei Wang Jinhang Zuo Han Zhong Xuchuang Wang Zhiyong Wang Shuai Li Mohammad Hajiesmaili J. C. Lui Wei Chen 129 3 0 03 Jun 2024
Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation Xu He Bo An Yanghua Li Haikai Chen Qingyu Guo Xuzhao Li Zhirong Wang 61 12 0 21 Aug 2020
Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications Qinshi Wang Wei Chen 39 87 0 05 Mar 2017
Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms Wei Chen Yajun Wang Yang Yuan Qinshi Wang 65 282 0 31 Jul 2014
Efficient Learning in Large-Scale Combinatorial Semi-Bandits Zheng Wen Branislav Kveton Azin Ashkan OffRL 100 96 0 28 Jun 2014
Learning to Act Greedily: Polymatroid Semi-Bandits Branislav Kveton Zheng Wen Azin Ashkan Michal Valko 55 10 0 30 May 2014
Matroid Bandits: Fast Combinatorial Optimization with Learning Branislav Kveton Zheng Wen Azin Ashkan Hoda Eydgahi Brian Eriksson 62 119 0 20 Mar 2014
Leveraging Side Observations in Stochastic Bandits S. Caron Branislav Kveton Marc Lelarge Smriti Bhagat 57 111 0 16 Oct 2012
An Adaptive Algorithm for Finite Stochastic Partial Monitoring Gábor Bartók N. Zolghadr Csaba Szepesvári 56 41 0 27 Jun 2012
From Bandits to Experts: On the Value of Side-Observations Shie Mannor Ohad Shamir OffRL 120 220 0 13 Jun 2011
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond Aurélien Garivier Olivier Cappé 99 613 0 12 Feb 2011
Combinatorial Network Optimization with Unknown Variables: Multi-Armed Bandits with Linear Rewards Yi Gai Bhaskar Krishnamachari Rahul Jain 110 261 0 22 Nov 2010