Merge pull request st-tech#173 from st-tech/update-version

Update version to 0.5.5

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.
 
 
 </details>

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.
+
 </details>
 
 <details>

obp/version.py

@@ -1 +1 @@
-__version__ = "0.5.4"
+__version__ = "0.5.5"

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "obp"
-version = "0.5.4"
+version = "0.5.5"
 description = "Open Bandit Pipeline: a python library for off-policy evaluation and learning"
 authors = ["Yuta Saito <[email protected]>"]
 license = "Apache License 2.0"
@@ -19,7 +19,7 @@ seaborn = "^0.11.2"
 pyieoe = "^0.1.1"
 pingouin = "^0.4.0"
 mypy-extensions = "^0.4.3"
-Pillow = "9.1.0"
+Pillow = "9.1.1"
 
 [tool.poetry.dev-dependencies]
 flake8 = "^3.9.2"