Refereed Conference Proceedings
10. Federico Cinus, Atsushi Miyauchi, Yuko Kuroki, Francesco Bonchi, Minimizing Polarization and Disagreement in the Friedkin-Johnsen Model with Unknown Innate Opinions, In Proceedings of The 34th International Joint Conference on Artificial Intelligence (IJCAI 2025), pp. 7365--7373, 2025.
9. Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, and Wei Chen: Query-efficient correlation clustering with noisy oracle. In Advances in Neural Information Processing Systems (NeurIPS2024).
8. Yuko Kuroki, Alberto Rumi, Taira Tsuchiya, Fabio Vitale, Nicolò Cesa-Bianchi: Best-of-Both-Worlds Algorithms for Linear Contextual Bandits. Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (AISTATS2024), PMLR 238:1216-1224, Valencia, Spain, May 2-4 2024. [arXiv]. (This paper was selected for oral presentation)
7. Yihan Du, Wei Chen, Yuko Kuroki, Longbo Huang, Collaborative Pure Exploration in Kernel Bandit., In Proceedings of the 11th International Conference on Learning Representations (ICLR2023), May 1st-5th, Kigali, Rwanda. 2023. [arXiv].
6. Yihan Du, Yuko Kuroki, Wei Chen, Combinatorial Pure Exploration with Bottleneck Reward Function, In Proceedings of Advances in Neural Information Processing Systems (NeurIPS2021), 34: 23956--23967, 2021. [link]
5. Yihan Du*, Yuko Kuroki*, & Wei Chen (*equal contribution), Combinatorial Pure Exploration with Partial or Full-Bandit Linear Feedback, In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI2021), 35(8), 7262-7270. [arXiv (full version)] [AAAI link] [slide]
4. Yuko Kuroki, Atsushi Miyauchi, Junya Honda, & Masashi Sugiyama, Online dense subgraph discovery via blurred-graph feedback. In Proceedings of 37th International Conference on Machine Learning (ICML2020), pp. 5522--5532, 2020. [video][link]
3*. Yasushi Kawase, Yuko Kuroki, & Atsushi Miyauchi, Graph Mining Meets Crowdsourcing: Extracting Experts for Answer Aggregation, In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), pp. 1272-1279. [link]
2. Daisuke Hatano, Yuko Kuroki, Yasushi Kawase, Hanna Sumita, Naonori Kakimura, & Ken-ichi Kawarabayashi, Non-zero-sum Stackelberg Budget Allocation Game for Computational Advertising, Proceedings of the16th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2019) , pp. 568-582. [link]
1*. Yuko Kuroki and Tomomi Matsui, Approximation Algorithm for Cycle-Star Hub Network Design Problems and Cycle-Metric Labeling Problems, Proceedings of the 11th International Conference and Workshops on Algorithms and Computation (WALCOM2017), pp.397-408, 2017
Refereed Review Articles
１. Yuko Kuroki, Junya Honda, Masashi Sugiyama: Combinatorial Pure Exploration with Full-bandit Feedback and Beyond: Solving Combinatorial Optimization under Uncertainty with Limited Observation. In The Fields Institute Communications Series on Data Science and Optimization. [arXiv], 2023.