Debiased Off-Policy Evaluation for Recommendation Systems

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Debiased Off-Policy Evaluation for Recommendation Systems

20 February 2020

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Papers citing "Debiased Off-Policy Evaluation for Recommendation Systems"

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Title
AutoOPE: Automated Off-Policy Estimator Selection Nicolò Felicioni Michael Benigni Maurizio Ferrari Dacrema OffRL 58 1 0 26 Jun 2024
Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer Toru Shirakawa Yi Li Yulun Wu Sky Qiu Yuxuan Li Mingduo Zhao Hiroyasu Iso Mark van der Laan 106 2 0 05 Apr 2024
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems Xiaocong Chen Siyu Wang Julian McAuley Dietmar Jannach Lina Yao OffRL 93 8 0 22 Aug 2023
Doubly Robust Estimator for Off-Policy Evaluation with Large Action Spaces Tatsuhiro Shimizu L. Forastiere OffRL 41 1 0 07 Aug 2023
Policy-Adaptive Estimator Selection for Off-Policy Evaluation Takuma Udagawa Haruka Kiyohara Yusuke Narita Yuta Saito Keisuke Tateno OffRL 62 25 0 25 Nov 2022
DoubleML -- An Object-Oriented Implementation of Double Machine Learning in Python Philipp Bach Victor Chernozhukov Malte S. Kurz Martin Spindler VLM GP 73 37 0 07 Apr 2021
Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation Yuta Saito Shunsuke Aihara Megumi Matsutani Yusuke Narita OffRL 201 75 0 17 Aug 2020