Ken Kobayashi

Profile Information

Affiliation: School of Engineering, Tokyo Institute of Technology

Researcher number: 90913517
ORCID ID: https://orcid.org/0000-0002-6609-7488
J-GLOBAL ID: 202101012298280037
researchmap Member ID: R000021378

Research Interests

Research Areas

Social infrastructure (civil Engineering, architecture, disaster prevention) / Safety engineering /
Social infrastructure (civil Engineering, architecture, disaster prevention) / Social systems engineering /

Research History

Apr, 2022 - Present

School of Engineering, Tokyo Institute of Technology
Apr, 2021 - Mar, 2022

研究員, 富士通株式会社
Apr, 2015 - Mar, 2021

研究員, 株式会社富士通研究所

Education

Apr, 2019 - Mar, 2022

Department of Industrial Engineering and Economics, School of Engineering, Tokyo Institute of Technology
Apr, 2013 - Mar, 2015

Graduate School of Decision Science and Technology, Tokyo Institute of Technology

Awards

Sep, 2023

第13回研究賞奨励賞, 日本オペレーションズ･リサーチ学会

小林健
Mar, 2023

令和 4 年度手島精一記念研究賞 (博士論文賞), Study on Cutting-plane Algorithms for Mixed-integer Semidefinite Optimization

小林健
Mar, 2023

令和 4 年度データ解析コンペティション成果報告会優秀賞, 経営科学系研究部会連合協議会

東将己, 山根大輝, 成民濟, 稲室健太, 永井将太, 小林健, 中田和秀
Mar, 2023

令和 4 年度データ解析コンペティション成果報告会最優秀賞, 経営科学系研究部会連合協議会

水谷圭佑, 植田彩香, 植田遼太, 大石嶺, 原朋史, 星野雄毅, 小林健, 中田和秀
Jun, 2022

2021 年度論文賞, Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization, 人工知能学会

金森憲太朗, 髙木拓也, 小林健, 有村博紀

Major Papers

Cardinality-constrained Distributionally Robust Portfolio Optimization

Ken Kobayashi, Yuichi Takano, Kazuhide Nakata

European Journal of Operational Research, abs/2112.12454, Jan, 2023 Peer-reviewed
Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees.

Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike

International Conference on Artificial Intelligence and Statistics(AISTATS), 1846-1870, 2022 Peer-reviewed
Bilevel cutting-plane algorithm for cardinality-constrained mean-CVaR portfolio optimization

Ken Kobayashi, Yuichi Takano, Kazuhide Nakata

Journal of Global Optimization, Oct 8, 2021 Peer-reviewed
Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization.

Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike, Kento Uemura, Hiroki Arimura

Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI2021), Feb, 2021 Peer-reviewed
DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization

Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Hiroki Arimura

Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI2020), 2855-2862, Jul, 2020 Peer-reviewed
A branch-and-cut algorithm for solving mixed-integer semidefinite optimization problems

Ken Kobayashi, Yuichi Takano

Computational Optimization and Applications, 75(2) 493-513, Mar, 2020 Peer-reviewed
Mixed integer quadratic optimization formulations for eliminating multicollinearity based on variance inflation factor

Tamura, R., Kobayashi, K., Takano, Y., Miyashiro, R., Nakata, K., Matsui, T.

Journal of Global Optimization, 73(2) 431-446, Feb, 2019 Peer-reviewed
Best subset selection for eliminating multicollinearity

Tamura, R., Kobayashi, K., Takano, Y., Miyashiro, R., Nakata, K., Matsui, T.

Journal of the Operations Research Society of Japan, 60(3) 321-336, 2017 Peer-reviewed

Professional Memberships

Research Projects

機械学習の不確実性を考慮した反実仮想説明法の開発

科学研究費助成事業, 若手研究, 日本学術振興会, Apr, 2024 - Mar, 2028

小林健
機械学習を用いた最適化問題の自動モデリングと構造を利用したアルゴリズムの開発

科学研究費助成事業基盤研究(B), 基盤研究(B), 日本学術振興会, Apr, 2020 - Mar, 2025

中田和秀, 田中未来, 小林健, 水野眞治
大規模混合整数半正定値最適化問題に対する効率的汎用解法の開発

戦略的な研究開発の推進戦略的創造研究推進事業 ACT-X, 2021 - 2023

小林健

Profile Information

Research Interests

Research Areas

Research History

Education

Awards

Major Papers

Professional Memberships

Research Projects

Menu

Coauthors