| Budgeted stream-based active learning via adaptive submodular maximization K Fujii, H Kashima Advances in Neural Information Processing Systems 29, 2016 | 41 | 2016 |
| Beyond adaptive submodularity: Approximation guarantees of greedy policy with adaptive submodularity ratio K Fujii, S Sakaue International conference on machine learning, 2042-2051, 2019 | 26 | 2019 |
| Polynomial-time algorithms for submodular Laplacian systems K Fujii, T Soma, Y Yoshida Theoretical Computer Science 892, 170-186, 2021 | 14 | 2021 |
| Selecting molecules with diverse structures and properties by maximizing submodular functions of descriptors learned with graph neural networks T Nakamura, S Sakaue, K Fujii, Y Harabuchi, S Maeda, S Iwata Scientific reports 12 (1), 1124, 2022 | 11 | 2022 |
| Bayes correlated equilibria and no-regret dynamics K Fujii arXiv preprint arXiv:2304.05005, 2023 | 6 | 2023 |
| Faster approximation algorithms for maximizing a monotone submodular function subject to a b-matching constraint K Fujii Information Processing Letters 116 (9), 578-584, 2016 | 4 | 2016 |
| Fast greedy algorithms for dictionary selection with generalized sparsity constraints K Fujii, T Soma Advances in Neural Information Processing Systems 31, 2018 | 3 | 2018 |
| The Secretary Problem with Predictions K Fujii, Y Yoshida Mathematics of Operations Research, 2023 | 2 | 2023 |
| Device selection and beamforming optimization in large-scale mmWave IoT networks THL Dinh, M Kaneko, K Fujii IEEE Internet of Things Journal 9 (24), 25395-25408, 2022 | 2 | 2022 |
| Algorithmic Bayesian persuasion with combinatorial actions K Fujii, S Sakaue Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5016-5024, 2022 | 2 | 2022 |
| Lazy and Fast Greedy MAP Inference for Determinantal Point Process S Hemmi, T Oki, S Sakaue, K Fujii, S Iwata Advances in Neural Information Processing Systems 35, 2776-2789, 2022 | 1 | 2022 |
| An improved algorithm for the submodular secretary problem with a cardinality constraint K Fujii arXiv preprint arXiv:1905.04941, 2019 | 1 | 2019 |
| SubMo-GNN: Property-and Structure-Aware Diverse Molecular Selection with Representation Learning and Mathematical Diverse-Selection Framework T Nakamura, S Sakaue, K Fujii, Y Harabuchi, S Maeda, S Iwata | | 2021 |
| Approximation guarantees of local search algorithms via localizability of set functions K Fujii International Conference on Machine Learning, 3327-3336, 2020 | | 2020 |
Shinsaku SakaueThe University of TokyoVerified email at mist.i.u-tokyo.ac.jp
