Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques

14 May 2014

Papers citing "Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques"

6 / 6 papers shown

Title
Bandit Algorithms for Precision Medicine Yangyi Lu Ziping Xu Ambuj Tewari 109 14 0 10 Aug 2021
How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference A. Gentzel Purva Pruthi David D. Jensen CML 67 18 0 06 Oct 2020
Productization Challenges of Contextual Multi-Armed Bandits D. Abensur Ivan Balashov S. Bar R. Lempel Nurit Moscovici I. Orlov Danny Rosenstein Ido Tamir 43 3 0 10 Jul 2019
Offline Evaluation of Ranking Policies with Click Models Shuai Li Yasin Abbasi-Yadkori Branislav Kveton S. Muthukrishnan Vishwa Vinay Zheng Wen CML OffRL 62 66 0 27 Apr 2018
The Use of Machine Learning Algorithms in Recommender Systems: A Systematic Review I. Portugal Paulo S. C. Alencar Donald D. Cowan 149 614 0 17 Nov 2015
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback Adith Swaminathan Thorsten Joachims OffRL 156 167 0 09 Feb 2015