| Optimization beyond prediction: Prescriptive price optimization S Ito, R Fujimaki Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 58 | 2017 |
| Large-scale price optimization via network flow S Ito, R Fujimaki Advances in Neural Information Processing Systems 29, 3855-3863, 2016 | 55 | 2016 |
| Parameter-Free Multi-Armed Bandit Algorithms with Hybrid Data-Dependent Regret Bounds S Ito Conference on Learning Theory, 2552-2583, 2021 | 47 | 2021 |
| 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 | 40 | 2018 |
| 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 | 30 | 2020 |
| Nearly Optimal Best-of-Both-Worlds Algorithms for Online Learning with Feedback Graphs S Ito, T Tsuchiya, J Honda arXiv preprint arXiv:2206.00873, 2022 | 29 | 2022 |
| Unbiased objective estimation in predictive optimization S Ito, A Yabe, R Fujimaki International Conference on Machine Learning, 2176-2185, 2018 | 29 | 2018 |
| On optimal robustness to adversarial corruption in online decision problems S Ito Advances in Neural Information Processing Systems 34, 7409-7420, 2021 | 25 | 2021 |
| An algorithm for the generalized eigenvalue problem for nonsquare matrix pencils by minimal perturbation approach S Ito, K Murota SIAM Journal on Matrix Analysis and Applications 37 (1), 409-419, 2016 | 23 | 2016 |
| 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 | 22 | 2021 |
| Best-of-both-worlds algorithms for partial monitoring T Tsuchiya, S Ito, J Honda International Conference on Algorithmic Learning Theory, 1484-1515, 2023 | 21 | 2023 |
| Adversarially Robust Multi-Armed Bandit Algorithm with Variance-Dependent Regret Bounds S Ito, T Tsuchiya, J Honda Conference on Learning Theory, 1421-1422, 2022 | 20 | 2022 |
| Hybrid regret bounds for combinatorial semi-bandits and adversarial linear bandits S Ito Advances in Neural Information Processing Systems 34, 2654-2667, 2021 | 19 | 2021 |
| A tight lower bound and efficient reduction for swap regret S Ito Advances in Neural Information Processing Systems 33, 18550-18559, 2020 | 19 | 2020 |
| Robust Quadratic Programming for Price Optimization. A Yabe, S Ito, R Fujimaki IJCAI, 4648-4654, 2017 | 19 | 2017 |
| Single Loop Gaussian Homotopy Method for Non-convex Optimization H Iwakiri, Y Wang, S Ito, A Takeda Advances in Neural Information Processing Systems 35, 7065-7076, 2022 | 17 | 2022 |
| Tight first-and second-order regret bounds for adversarial linear bandits S Ito, S Hirahara, T Soma, Y Yoshida Advances in Neural Information Processing Systems 33, 2028-2038, 2020 | 17 | 2020 |
| Stable polefinding and rational least-squares fitting via eigenvalues S Ito, Y Nakatsukasa Numerische Mathematik 139, 633-682, 2018 | 17 | 2018 |
| Submodular function minimization with noisy evaluation oracle S Ito Advances in Neural Information Processing Systems 32, 12103-12113, 2019 | 14 | 2019 |
| Tracking Regret Bounds for Online Submodular Optimization T Matsuoka, S Ito, N Ohsaka International Conference on Artificial Intelligence and Statistics, 3421-3429, 2021 | 13 | 2021 |
