diff --git a/README.md b/README.md index def7bc3..4666236 100644 --- a/README.md +++ b/README.md @@ -347,7 +347,7 @@ This project is licensed under the Apache 2.0 License - see the [LICENSE](LICENS # Project Team -- [Yuta Saito](https://usaito.github.io/) (**Main Contributor**; Cornell University) +- [Yuta Saito](https://usait0.com/en/) (**Main Contributor**; Cornell University) - [Shunsuke Aihara](https://www.linkedin.com/in/shunsukeaihara/) (ZOZO Research) - Megumi Matsutani (ZOZO Research) - [Yusuke Narita](https://www.yusuke-narita.com/) (Hanjuku-kaso Co., Ltd. / Yale University) @@ -404,10 +404,17 @@ For any question about the paper, data, and pipeline, feel free to contact: ys55 19. James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, and Benjamin Carterette. [Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions](https://arxiv.org/abs/2007.12986). In *Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery&Data Mining*, 1779–1788, 2020. -20. Yusuke Narita, Shota Yasui, and Kohei Yata. [Debiased Off-Policy Evaluation for Recommendation Systems](https://arxiv.org/abs/2002.08536). *arXiv preprint arXiv:2002.08536*, 2020. +20. Yusuke Narita, Shota Yasui, and Kohei Yata. [Debiased Off-Policy Evaluation for Recommendation Systems](https://dl.acm.org/doi/10.1145/3460231.3474231). In *Proceedings of the Fifteenth ACM Conference on Recommender Systems*, 372-379, 2021. 21. Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, and Jure Leskovec. [Open Graph Benchmark: Datasets for Machine Learning on Graphs](https://arxiv.org/abs/2005.00687). In *Advances in Neural Information Processing Systems*. 2020. +22. Noveen Sachdeva, Yi Su, and Thorsten Joachims. [Off-policy Bandits with Deficient Support](https://dl.acm.org/doi/10.1145/3394486.3403139). In *Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining*, 965-975, 2021. + +23. Yi Su, Pavithra Srinath, and Akshay Krishnamurthy. [Adaptive Estimator Selection for Off-Policy Evaluation](https://proceedings.mlr.press/v119/su20d.html). In *Proceedings of the 38th International Conference on Machine Learning*, 9196-9205, 2021. + +24. Haruka Kiyohara, Yuta Saito, Tatsuya Matsuhiro, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto. [Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model](https://dl.acm.org/doi/10.1145/3488560.3498380). In *Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining*, 487-497, 2022. + +25. Yuta Saito and Thorsten Joachims. [Off-Policy Evaluation for Large Action Spaces via Embeddings](https://arxiv.org/abs/2202.06317). In *Proceedings of the 39th International Conference on Machine Learning*, 2022. diff --git a/README_JN.md b/README_JN.md index 9e19ed6..16a85f8 100644 --- a/README_JN.md +++ b/README_JN.md @@ -324,7 +324,7 @@ Open Bandit Pipelineへのどんな貢献も歓迎いたします. プロジェ # プロジェクトチーム -- [齋藤優太](https://usaito.github.io/) (**Main Contributor**; 半熟仮想株式会社 / コーネル大学) +- [齋藤優太](https://usait0.com/ja/) (**Main Contributor**; 半熟仮想株式会社 / コーネル大学) - [粟飯原俊介](https://www.linkedin.com/in/shunsukeaihara/) (ZOZO研究所) - 松谷恵 (ZOZO研究所) - [成田悠輔](https://www.yusuke-narita.com/) (半熟仮想株式会社 / イェール大学) @@ -381,10 +381,18 @@ Open Bandit Pipelineへのどんな貢献も歓迎いたします. プロジェ 19. James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, and Benjamin Carterette. [Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions](https://arxiv.org/abs/2007.12986). In *Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery&Data Mining*, 1779–1788, 2020. -20. Yusuke Narita, Shota Yasui, and Kohei Yata. [Debiased Off-Policy Evaluation for Recommendation Systems](https://arxiv.org/abs/2002.08536). *arXiv preprint arXiv:2002.08536*, 2020. +20. Yusuke Narita, Shota Yasui, and Kohei Yata. [Debiased Off-Policy Evaluation for Recommendation Systems](https://dl.acm.org/doi/10.1145/3460231.3474231). In *Proceedings of the Fifteenth ACM Conference on Recommender Systems*, 372-379, 2021. 21. Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, and Jure Leskovec. [Open Graph Benchmark: Datasets for Machine Learning on Graphs](https://arxiv.org/abs/2005.00687). In *Advances in Neural Information Processing Systems*. 2020. +22. Noveen Sachdeva, Yi Su, and Thorsten Joachims. [Off-policy Bandits with Deficient Support](https://dl.acm.org/doi/10.1145/3394486.3403139). In *Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining*, 965-975, 2021. + +23. Yi Su, Pavithra Srinath, and Akshay Krishnamurthy. [Adaptive Estimator Selection for Off-Policy Evaluation](https://proceedings.mlr.press/v119/su20d.html). In *Proceedings of the 38th International Conference on Machine Learning*, 9196-9205, 2021. + +24. Haruka Kiyohara, Yuta Saito, Tatsuya Matsuhiro, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto. [Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model](https://dl.acm.org/doi/10.1145/3488560.3498380). In *Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining*, 487-497, 2022. + +25. Yuta Saito and Thorsten Joachims. [Off-Policy Evaluation for Large Action Spaces via Embeddings](https://arxiv.org/abs/2202.06317). In *Proceedings of the 39th International Conference on Machine Learning*, 2022. +
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