I am an assistant professor at National Institute of Informatics.
I received my PhD from University of Tokyo where I was advised by Prof. Satoru Iwata.
Email: fujiik+at+nii.ac.jp
dblp google scholar
Research Interests
My research interests lie in the intersection of combinatorial optimization and machine learning.I am particularly interested in submodular maximization, active learning, optimal stopping theory, online learning, and correlated equilibria.
Internship
I am looking for graduate students to collaborate with me through NII International Internship Program.If you are interested, please do not hesitate to contact me via email. Please refer to these slides or these slides for more information about my research area.
Preprints
- Kaito Fujii
Bayes correlated equilibria and no-regret dynamics
ArXiv preprints, 2023.
[slides] - Kaito Fujii
An improved algorithm for the submodular secretary problem with a cardinality constraint
ArXiv preprints, 2019.
Refereed Publications
- M. Kozai, Y. Hayashi, K. Fujii, K. Munakata, C. Kato, N. Miyashita, A. Kadokura, R. Kataoka, S. Miyake, M.L. Duldig, J.E. Humble, K. Iwai
Cosmic ray north-south anisotropy: rigidity spectrum and solar cycle variations observed by ground-based muon detectors
The Astrophysical Journal, 977(2), 160, 2024. - Kaito Fujii and Yuichi Yoshida (alphabetical order)
The secretary problem with predictions
Mathematics of Operations Research, 49(2), pp. 1241--1262, 2023. - Shinichi Hemmi, Taihei Oki, Shinsaku Sakaue, Kaito Fujii, and Satoru Iwata
Lazy and fast greedy MAP inference for determinantal point process
Advances in Neural Information Processing Systems (NeurIPS), 35, pp. 2776--2789, 2022.
- Thi Ha Ly Dinh, Megumi Kaneko, and Kaito Fujii
Device selection and beamforming optimization in large-scale mmWave IoT networks
IEEE Internet of Things Journal, 9(24), pp. 25395--25408, 2022.
- Tomohiro Nakamura, Shinsaku Sakaue, Kaito Fujii, Yu Harabuchi, Satoshi Maeda, and Satoru Iwata
Selecting molecules with diverse structures and properties by maximizing submodular functions of descriptors learned with graph neural networks
Scientific Reports, 12, 1124, 2022. - Kaito Fujii and Shinsaku Sakaue (alphabetical order)
Algorithmic Bayesian persuasion with combinatorial actions
Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI), 36(5), pp. 5016--5024, 2022.
[slides] - Kaito Fujii, Tasuku Soma, and Yuichi Yoshida (alphabetical order)
Polynomial-time algorithms for submodular Laplacian systems
Theoretical Computer Science, 892(12), pp. 170--186, 2021. - Kaito Fujii
Approximation guarantees of local search algorithms via localizability of set functions
Proceedings of the 37th International Conference on Machine Learning (ICML), pp. 3327--3336, 2020.
[slides] - Kaito Fujii and Shinsaku Sakaue
Beyond adaptive submodularity: Approximation guarantees of greedy policy with adaptive submodularity ratio
Proceedings of the 36th International Conference on Machine Learning (ICML), pp. 2042--2051, 2019.
[poster] [slides] - Kaito Fujii and Tasuku Soma (alphabetical order)
Fast greedy algorithms for dictionary selection with generalized sparsity constraints
Advances in Neural Information Processing Systems (NeurIPS), 31, pp. 4745--4754, 2018. Spotlight (top 4% submissions).
[poster] [spotlight slides] - Kaito Fujii and Hisashi Kashima
Budgeted stream-based active learning via adaptive submodular maximization
Advances in Neural Information Processing Systems (NIPS), 29, pp. 514--522, 2016. - Kaito Fujii
Faster approximation algorithms for maximizing a monotone submodular function subject to a b-matching constraint
Information Processing Letters, 116(9), pp. 578--584, 2016.