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Ken Kobayashi
Ken Kobayashi
Verifierad e-postadress på m.titech.ac.jp - Startsida
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DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization.
K Kanamori, T Takagi, K Kobayashi, H Arimura
IJCAI, 2855-2862, 2020
1282020
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
1162019
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
572017
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
372021
A branch-and-cut algorithm for solving mixed-integer semidefinite optimization problems
K Kobayashi, Y Takano
Computational Optimization and Applications, 1-21, 2019
282019
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
252021
Bilevel cutting-plane algorithm for cardinality-constrained mean-CVaR portfolio optimization
K Kobayashi, Y Takano, K Nakata
Journal of Global Optimization, 1-36, 2021
24*2021
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
192022
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
162022
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
152019
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
142020
Cardinality-constrained distributionally robust portfolio optimization
K Kobayashi, Y Takano, K Nakata
European Journal of Operational Research 309 (3), 1173-1182, 2023
112023
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
62020
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, 2023
42023
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
32014
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
22023
Counterfactual explanation with missing values
K Kanamori, T Takagi, K Kobayashi, Y Ike
arXiv preprint arXiv:2304.14606, 2023
22023
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
22019
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
22019
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
22019
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Artiklar 1–20