| Causal bandits with propagating inference A Yabe, D Hatano, H Sumita, S Ito, N Kakimura, T Fukunaga, ... International Conference on Machine Learning, 5512-5520, 2018 | 38 | 2018 |
| Divide-and-conquer algorithms for partitioning hypergraphs and submodular systems K Okumoto, T Fukunaga, H Nagamochi Algorithmica 62 (3), 787-806, 2012 | 34 | 2012 |
| Iterative rounding approximation algorithms for degree-bounded node-connectivity network design T Fukunaga, Z Nutov, R Ravi SIAM Journal on Computing 44 (5), 1202-1229, 2015 | 32 | 2015 |
| Delay and cooperation in nonstochastic linear bandits S Ito, D Hatano, H Sumita, K Takemura, T Fukunaga, N Kakimura, ... Advances in Neural Information Processing Systems 33, 4872-4883, 2020 | 29 | 2020 |
| Approximation algorithms for highly connected multi-dominating sets in unit disk graphs T Fukunaga Algorithmica 80, 3270-3292, 2018 | 28 | 2018 |
| Computing minimum multiway cuts in hypergraphs T Fukunaga Discrete Optimization 10 (4), 371-382, 2013 | 28* | 2013 |
| Threshold influence model for allocating advertising budgets A Miyauchi, Y Iwamasa, T Fukunaga, N Kakimura International Conference on Machine Learning, 1395-1404, 2015 | 23 | 2015 |
| Robust cost colorings. T Fukunaga, MM Halldórsson, H Nagamochi SODA 8, 1204-1212, 2008 | 21 | 2008 |
| A parameter-free algorithm for misspecified linear contextual bandits K Takemura, S Ito, D Hatano, H Sumita, T Fukunaga, N Kakimura, ... International Conference on Artificial Intelligence and Statistics, 3367-3375, 2021 | 20 | 2021 |
| Adaptive algorithm for finding connected dominating sets in uncertain graphs T Fukunaga IEEE/ACM Transactions on Networking 28 (1), 387-398, 2020 | 19 | 2020 |
| Virtual machine placement for minimizing connection cost in data center networks T Fukunaga, S Hirahara, H Yoshikawa Discrete Optimization 26, 183-198, 2017 | 19 | 2017 |
| Unranking of small combinations from large sets T Shimizu, T Fukunaga, H Nagamochi Journal of Discrete Algorithms 29, 8-20, 2014 | 17 | 2014 |
| Network design with weighted degree constraints T Fukunaga, H Nagamochi Discrete Optimization 7 (4), 246-255, 2010 | 17 | 2010 |
| Adaptive Budget Allocation for Maximizing Influence of Advertisements. D Hatano, T Fukunaga, KI Kawarabayashi IJCAI, 3600-3608, 2016 | 15 | 2016 |
| Deliver or hold: approximation algorithms for the periodic inventory routing problem T Fukunaga, A Nikzad, R Ravi Approximation, Randomization, and Combinatorial Optimization. Algorithms and …, 2014 | 14 | 2014 |
| Spider covers for prize-collecting network activation problem T Fukunaga ACM Transactions on Algorithms (TALG) 13 (4), 1-31, 2017 | 13 | 2017 |
| Online Optimization of Video-Ad Allocation. H Sumita, Y Kawase, S Fujita, T Fukunaga, RA Center IJCAI, 423-429, 2017 | 13 | 2017 |
| Lagrangian decomposition algorithm for allocating marketing channels D Hatano, T Fukunaga, T Maehara, K Kawarabayashi Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 13 | 2015 |
| Oracle-efficient algorithms for online linear optimization with bandit feedback S Ito, D Hatano, H Sumita, K Takemura, T Fukunaga, N Kakimura, ... Advances in Neural Information Processing Systems 32, 2019 | 12 | 2019 |
| End-to-end learning for prediction and optimization with gradient boosting T Konishi, T Fukunaga Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020 | 11 | 2020 |
Ken-ichi KawarabayashiNational Institute of Informatics, The University of TokyoVerified email at nii.ac.jp
