Large-scale Validation of Counterfactual Learning Methods: A Test-Bed

Large-scale Validation of Counterfactual Learning Methods: A Test-Bed

1 December 2016

Damien Lefortier

Adith Swaminathan

Xiaotao Gu

Thorsten Joachims

Maarten de Rijke

Papers citing "Large-scale Validation of Counterfactual Learning Methods: A Test-Bed"

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Title
AExGym: Benchmarks and Environments for Adaptive Experimentation Jimmy Wang Ethan Che Daniel R. Jiang Hongseok Namkoong 47 0 0 08 Aug 2024
A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits Liu Leqi Giulio Zhou Fatma Kilincc-Karzan Zachary Chase Lipton A. Montgomery 27 2 0 16 Apr 2023
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models Rohan Anil S. Gadanho Danya Huang Nijith Jacob Zhuoshu Li ... Cristina Pop Kevin Regan G. Shamir Rakesh Shivanna Qiqi Yan 3DV 29 41 0 12 Sep 2022
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems Chongming Gao Shijun Li Wenqiang Lei Jiawei Chen Biao Li Peng Jiang Xiangnan He Jiaxin Mao Tat-Seng Chua 37 131 0 22 Feb 2022
Enhancing Counterfactual Classification via Self-Training Ruijiang Gao Max Biggs Wei-Ju Sun Ligong Han CML OffRL 37 6 0 08 Dec 2021
A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling Eustache Diemert Artem Betlei Christophe Renaudin Massih-Reza Amini T. Gregoir Thibaud Rahier CML 33 10 0 19 Nov 2021
Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation Yuta Saito Shunsuke Aihara Megumi Matsutani Yusuke Narita OffRL 24 73 0 17 Aug 2020
Unbiased Learning for the Causal Effect of Recommendation Masahiro Sato S. Takemori Janmajay Singh Tomoko Ohkuma CML OffRL 17 69 0 11 Aug 2020
Design and Evaluation of Personalized Free Trials Hema Yoganarasimhan E. Barzegary Abhishek Pani 15 11 0 24 Jun 2020
Imitation-Regularized Offline Learning Yifei Ma Yu Wang Balakrishnan Balakrishnan Narayanaswamy OffRL 14 22 0 15 Jan 2019