A Survey on Practical Applications of Multi-Armed and Contextual Bandits

2 April 2019

Papers citing "A Survey on Practical Applications of Multi-Armed and Contextual Bandits"

13 / 13 papers shown

Title
Causal Inference out of Control: Estimating the Steerability of Consumption Gary Cheng Moritz Hardt Celestine Mendler-Dünner CML 37 1 0 10 Feb 2023
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees Andrea Tirinzoni Matteo Papini Ahmed Touati A. Lazaric Matteo Pirotta 28 4 0 24 Oct 2022
Differentially Private Stochastic Linear Bandits: (Almost) for Free Osama A. Hanna Antonious M. Girgis Christina Fragouli Suhas Diggavi FedML 27 18 0 07 Jul 2022
Machine Learning Prescriptive Canvas for Optimizing Business Outcomes H. Shteingart Gerben Oostra Ohad Levinkron Naama Parush G. Shabat Daniel Aronovich 29 0 0 21 Jun 2022
Multi-Armed Bandits in Brain-Computer Interfaces Frida Heskebeck Carolina Bergeling Bo Bernhardsson 27 4 0 19 May 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 38 9 0 23 Feb 2022
Solving Multi-Arm Bandit Using a Few Bits of Communication Osama A. Hanna Lin F. Yang Christina Fragouli 24 16 0 11 Nov 2021
Risk averse non-stationary multi-armed bandits Leo Benac Frédéric Godin 33 2 0 28 Sep 2021
Leveraging Good Representations in Linear Contextual Bandits Matteo Papini Andrea Tirinzoni Marcello Restelli A. Lazaric Matteo Pirotta 30 26 0 08 Apr 2021
A bandit-learning approach to multifidelity approximation Yiming Xu Vahid Keshavarzzadeh Robert M. Kirby A. Narayan 8 6 0 29 Mar 2021
Regret Analysis of a Markov Policy Gradient Algorithm for Multi-arm Bandits D. Denisov N. Walton 29 8 0 20 Jul 2020
Thompson Sampling via Local Uncertainty Zhendong Wang Mingyuan Zhou 16 19 0 30 Oct 2019
Optimal Exploitation of Clustering and History Information in Multi-Armed Bandit Djallel Bouneffouf Srinivasan Parthasarathy Horst Samulowitz Martin Wistuba 11 29 0 31 May 2019