Random Forest for the Contextual Bandit Problem - extended version

27 April 2015

Papers citing "Random Forest for the Contextual Bandit Problem - extended version"

9 / 9 papers shown

Title
Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits H. Bui Enrique Mallada Anqi Liu 509 1 0 08 Nov 2024
Efficient Online Decision Tree Learning with Active Feature Acquisition Arman Rahbar Ziyu Ye Yuxin Chen M. Chehreghani 71 1 0 03 May 2023
Universality of parametric Coupling Flows over parametric diffeomorphisms Junlong Lyu Zhitang Chen Chang Feng Wenjing Cun Shengyu Zhu Yanhui Geng Zhijie Xu Yuxiao Chen 63 3 0 07 Feb 2022
Tsetlin Machine for Solving Contextual Bandit Problems Raihan Seraj Jivitesh Sharma Ole-Christoffer Granmo 59 11 0 04 Feb 2022
Stochastic Optimization Forests Nathan Kallus Xiaojie Mao 200 50 0 17 Aug 2020
Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decision Li Ye Yishi Lin Hong Xie John C. S. Lui CML 92 11 0 16 Jan 2020
Exploiting Relevance for Online Decision-Making in High-Dimensions E. Turğay Cem Bulucu Cem Tekin 64 4 0 01 Jul 2019
Nonparametric Pricing Analytics with Customer Covariates Ningyuan Chen G. Gallego 155 42 0 03 May 2018
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling C. Riquelme George Tucker Jasper Snoek BDL 93 366 0 26 Feb 2018