DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization. K Kanamori, T Takagi, K Kobayashi, H Arimura IJCAI, 2855-2862, 2020 | 134 | 2020 |
Mixed integer quadratic optimization formulations for eliminating multicollinearity based on variance inflation factor R Tamura, K Kobayashi, Y Takano, R Miyashiro, K Nakata, T Matsui Journal of Global Optimization 73, 431-446, 2019 | 119 | 2019 |
Best subset selection for eliminating multicollinearity R Tamura, K Kobayashi, Y Takano, R Miyashiro, K Nakata, T Matsui Journal of the Operations Research Society of Japan 60 (3), 321-336, 2017 | 60 | 2017 |
Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization K Kanamori, T Takagi, K Kobayashi, Y Ike, K Uemura, H Arimura Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11564 …, 2021 | 40 | 2021 |
Bilevel cutting-plane algorithm for cardinality-constrained mean-CVaR portfolio optimization K Kobayashi, Y Takano, K Nakata Journal of Global Optimization, 1-36, 2021 | 28* | 2021 |
A branch-and-cut algorithm for solving mixed-integer semidefinite optimization problems K Kobayashi, Y Takano Computational Optimization and Applications, 1-21, 2019 | 28 | 2019 |
Counterfactual explanation trees: Transparent and consistent actionable recourse with decision trees K Kanamori, T Takagi, K Kobayashi, Y Ike International Conference on Artificial Intelligence and Statistics, 1846-1870, 2022 | 27 | 2022 |
Topological data analysis (TDA) enhances bispectral EEG (BSEEG) algorithm for detection of delirium T Yamanashi, M Kajitani, M Iwata, KJ Crutchley, P Marra, JR Malicoat, ... Scientific reports 11 (1), 304, 2021 | 25 | 2021 |
Evaluation of point-of-care thumb-size bispectral electroencephalography device to quantify delirium severity and predict mortality T Yamanashi, KJ Crutchley, NE Wahba, EJ Sullivan, M Kajitani, T Tran, ... The British Journal of Psychiatry 220 (6), 322-329, 2022 | 17 | 2022 |
Bézier simplex fitting: Describing Pareto fronts of simplicial problems with small samples in multi-objective optimization K Kobayashi, N Hamada, A Sannai, A Tanaka, K Bannai, M Sugiyama Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2304-2313, 2019 | 16 | 2019 |
Prediction of hierarchical time series using structured regularization and its application to artificial neural networks T Shiratori, K Kobayashi, Y Takano Plos one 15 (11), e0242099, 2020 | 15 | 2020 |
Cardinality-constrained distributionally robust portfolio optimization K Kobayashi, Y Takano, K Nakata European Journal of Operational Research 309 (3), 1173-1182, 2023 | 13 | 2023 |
Asymptotic risk of Bézier simplex fitting A Tanaka, A Sannai, K Kobayashi, N Hamada Proceedings of the AAAI Conference on Artificial Intelligence 34 (03), 2416-2424, 2020 | 6 | 2020 |
Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation H Kiyohara, R Kishimoto, K Kawakami, K Kobayashi, K Nakata, Y Saito The Twelfth International Conference on Learning Representations, 2024 | 4 | 2024 |
ファジィクラスタワイズ回帰を用いた共同購入型クーポンサイトの閲覧傾向分析 高野祐一, 田中未来, 川矩義, 竹山光将, 神里栄, 千代竜佑, 小林健, ... オペレーションズ・リサーチ: 経営の科学 59 (2), 81-87, 2014 | 3 | 2014 |
SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation H Kiyohara, R Kishimoto, K Kawakami, K Kobayashi, K Nakata, Y Saito arXiv preprint arXiv:2311.18206, 2023 | 2 | 2023 |
Counterfactual explanation with missing values K Kanamori, T Takagi, K Kobayashi, Y Ike arXiv preprint arXiv:2304.14606, 2023 | 2 | 2023 |
Automatic neural network search method for open set recognition L Sun, X Yu, L Wang, J Sun, H Inakoshi, K Kobayashi, H Kobashi 2019 IEEE International Conference on Image Processing (ICIP), 4090-4094, 2019 | 2 | 2019 |
Computer-readable recording medium, abnormality candidate extraction method, and abnormality candidate extraction apparatus K Kobayashi, Y Umeda, M Todoriki US Patent App. 16/207,350, 2019 | 2 | 2019 |
制約つき比例ハザードモデルを用いたヘアサロンの再来店状況分析 西村直樹, 小林健, 吉住宗朔 オペレーションズ・リサーチ: 経営の科学 64 (2), 65-72, 2019 | 2 | 2019 |