Contextual Bandits with Similarity Information

23 July 2009

Papers citing "Contextual Bandits with Similarity Information"

50 / 162 papers shown

Title
Contextual Games: Multi-Agent Learning with Side Information Pier Giuseppe Sessa Ilija Bogunovic Andreas Krause Maryam Kamgarpour 52 21 0 13 Jul 2021
Multi-armed Bandit Requiring Monotone Arm Sequences Ningyuan Chen 38 11 0 07 Jun 2021
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks Rong Zhu Mattia Rigotti 26 7 0 10 May 2021
Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback Siwei Wang Haoyun Wang Longbo Huang 6 11 0 13 Dec 2020
Towards Fundamental Limits of Multi-armed Bandits with Random Walk Feedback Tianyu Wang Lin F. Yang Zizhuo Wang 6 0 0 03 Nov 2020
Multitask Bandit Learning Through Heterogeneous Feedback Aggregation Zhi Wang Chicheng Zhang Manish Singh L. Riek Kamalika Chaudhuri 74 20 0 29 Oct 2020
Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection Wenhao Li Ningyuan Chen Alekh Agarwal 8 4 0 17 Sep 2020
Bandits for BMO Functions Tianyu Wang Cynthia Rudin 10 5 0 17 Jul 2020
Self-Tuning Bandits over Unknown Covariate-Shifts Joe Suk Samory Kpotufe 30 9 0 16 Jul 2020
Optimal Learning for Structured Bandits Bart P. G. Van Parys Negin Golrezaei 19 15 0 14 Jul 2020
Adaptive Discretization for Model-Based Reinforcement Learning Sean R. Sinclair Tianyu Wang Gauri Jain Siddhartha Banerjee Chao Yu OffRL 19 21 0 01 Jul 2020
Adaptive Discretization for Adversarial Lipschitz Bandits Chara Podimata Aleksandrs Slivkins 20 16 0 22 Jun 2020
Provably adaptive reinforcement learning in metric spaces Tongyi Cao A. Krishnamurthy 25 7 0 18 Jun 2020
Efficient Contextual Bandits with Continuous Actions Maryam Majzoubi Chicheng Zhang Rajan Chari A. Krishnamurthy John Langford Aleksandrs Slivkins OffRL 29 32 0 10 Jun 2020
Kernel-Based Reinforcement Learning: A Finite-Time Analysis O. D. Domingues Pierre Ménard Matteo Pirotta E. Kaufmann Michal Valko 9 18 0 12 Apr 2020
Convex Hull Monte-Carlo Tree Search Michael Painter Bruno Lacerda Nick Hawes 21 11 0 09 Mar 2020
Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces Ahmed Touati Adrien Ali Taïga Marc G. Bellemare 27 19 0 09 Mar 2020
Optimal Contextual Pricing and Extensions Allen Liu R. Leme Jon Schneider 29 1 0 03 Mar 2020
Bandit Learning with Delayed Impact of Actions Wei Tang Chien-Ju Ho Yang Liu 11 12 0 24 Feb 2020
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles Dylan J. Foster Alexander Rakhlin 16 206 0 12 Feb 2020
Fair Contextual Multi-Armed Bandits: Theory and Experiments Yifang Chen Alex Cuellar Haipeng Luo Jignesh Modi Heramb Nemlekar Stefanos Nikolaidis FaML 30 61 0 13 Dec 2019
Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces Sean R. Sinclair Siddhartha Banerjee Chao Yu OffRL 18 39 0 17 Oct 2019
No-Regret Learning in Unknown Games with Correlated Payoffs Pier Giuseppe Sessa Ilija Bogunovic Maryam Kamgarpour Andreas Krause OffRL 37 40 0 18 Sep 2019
Smooth Contextual Bandits: Bridging the Parametric and Non-differentiable Regret Regimes Yichun Hu Nathan Kallus Xiaojie Mao 24 34 0 05 Sep 2019
Nonparametric Contextual Bandits in an Unknown Metric Space Nirandika Wanigasekara Chao Yu 15 10 0 03 Aug 2019
Lexicographic Multiarmed Bandit Alihan Huyuk Cem Tekin 6 0 0 26 Jul 2019
A Dimension-free Algorithm for Contextual Continuum-armed Bandits Wenhao Li Ningyuan Chen L. Jeff Hong 15 2 0 15 Jul 2019
Exploration by Optimisation in Partial Monitoring Tor Lattimore Csaba Szepesvári 33 38 0 12 Jul 2019
Laplacian-regularized graph bandits: Algorithms and theoretical analysis Kaige Yang Xiaowen Dong Laura Toni 7 17 0 12 Jul 2019
Exploiting Relevance for Online Decision-Making in High-Dimensions E. Turğay Cem Bulucu Cem Tekin 24 4 0 01 Jul 2019
Multi-Objective Generalized Linear Bandits Shiyin Lu G. Wang Yao Hu Lijun Zhang 9 20 0 30 May 2019
OSOM: A simultaneously optimal algorithm for multi-armed and linear contextual bandits Niladri S. Chatterji Vidya Muthukumar Peter L. Bartlett 9 44 0 24 May 2019
Fiduciary Bandits Gal Bahar Omer Ben-Porat Kevin Leyton-Brown Moshe Tennenholtz 13 9 0 16 May 2019
Lipschitz Bandit Optimization with Improved Efficiency Xu Zhu 16 1 0 25 Apr 2019
Stochastic Lipschitz Q-Learning Xu Zhu 12 4 0 24 Apr 2019
Introduction to Multi-Armed Bandits Aleksandrs Slivkins 28 990 0 15 Apr 2019
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting A. Krishnamurthy John Langford Aleksandrs Slivkins Chicheng Zhang OffRL 26 66 0 05 Feb 2019
Randomized Allocation with Nonparametric Estimation for Contextual Multi-Armed Bandits with Delayed Rewards Sakshi Arya Yuhong Yang 9 22 0 03 Feb 2019
Towards Practical Lipschitz Bandits Tianyu Wang Weicheng Ye Dawei Geng Cynthia Rudin 19 1 0 26 Jan 2019
Semi-parametric dynamic contextual pricing Virag Shah Jose H. Blanchet Ramesh Johari 15 36 0 07 Jan 2019
A Primal-dual Learning Algorithm for Personalized Dynamic Pricing with an Inventory Constraint Ningyuan Chen G. Gallego 21 27 0 20 Dec 2018
Balanced Linear Contextual Bandits Maria Dimakopoulou Zhengyuan Zhou Susan Athey Guido Imbens 10 64 0 15 Dec 2018
Online Learning and Decision-Making under Generalized Linear Model with High-Dimensional Data Xue Wang Mike Mingcheng Wei Tao Yao 15 4 0 07 Dec 2018
Adapting multi-armed bandits policies to contextual bandits scenarios David Cortes 27 32 0 11 Nov 2018
contextual: Evaluating Contextual Multi-Armed Bandit Problems in R Sayed Chhattan Shah M. Kaptein CML 19 8 0 06 Nov 2018
Regret vs. Bandwidth Trade-off for Recommendation Systems Linqi Song Christina Fragouli Devavrat Shah 13 1 0 15 Oct 2018
Regularized Contextual Bandits Xavier Fontaine Quentin Berthet Vianney Perchet OffRL 6 6 0 11 Oct 2018
Spatio-temporal Edge Service Placement: A Bandit Learning Approach Lixing Chen Jie Xu Shaolei Ren Pan Zhou 27 76 0 07 Oct 2018
Contextual Bandits with Cross-learning S. Balseiro Negin Golrezaei Mohammad Mahdian Vahab Mirrokni Jon Schneider 21 50 0 25 Sep 2018
Graph-Based Recommendation System Kaige Yang Laura Toni 11 22 0 31 Jul 2018