数理最適化・機械学習

プレプリント

[8] Akira Kitaoka, A fast algorithm to minimize prediction loss of the optimal solution in inverse optimization problem of MILP, preprint. [arXiv:2405.14273]

[6] Akira Kitaoka, Riki Eto, A proof of imitation of Wasserstein inverse reinforcement learning for multi-objective optimization, preprint. [arXiv:2305.10089]

[5] Akira Kitaoka, Riki Eto, A proof of convergence of inverse reinforcement learning for multi-objective optimization, preprint. [arXiv:2305.06137]

査読なし会議

[12] 松野 竜太，北岡 旦，佐久間 啓太，廣川 暢一，2サンプル平均化データに基づく非線形回帰モデルの学習 (Japanese), JSAI2025, (2025年5月28日), 2L4-GS-1-05, to appear.

[11] 北岡 旦, 岡嶋 穣，佐々木 耀一，高野 凜，曲線のエネルギー最小化による経路に基づく反実仮想説明 (Japanese), JSAI2025, (2025年5月27日), 1Win4-97, to appear.

[9] 北岡　旦, 江藤　力, 混合整数線形計画の逆問題におけるSuboptimality損失と予測損失の等価性 (Japanese), JSAI2024, (2024年5月28日), 1F3-GS-1-02. [論文]

数理科学

プレプリント

[10] Akira Kitaoka, Minimization of curve length through energy minimization using finite difference and numerical integration in real coordinate space, preprint. [arXiv:2504.15566]

査読付き論文

[4] Akira Kitaoka, Harmonic forms and the Rumin complex on Sasakian manifolds, Osaka Journal of Mathematics, to appear. [arXiv:2204.03446]

[3] Akira Kitaoka, Ray-Singer Torsion and the Rumin Laplacian on lens spaces, Symmetry, Integrability and Geometry: Methods and Applications (SIGMA) 18 (2022), 091, 16 pages. [article link][arXiv:2009.03276]

[1] Akira Kitaoka, Analytic torsions associated with the Rumin complex on contact spheres, International Journal of Mathematics 31 (2020), no. 13, 2050112. [article link] [arXiv:1911.03092]

査読なし論文

[7] Akira Kitaoka, Ray-Singer torsion and the Rumin Laplacian on lens spaces, 幾何構造と微分方程式 — 対称性・特異性及び量子化の視点から —, 京都大学数理解析研究所講究録, 2023年11月. 発表原稿

[2] 北岡旦, 購買記録から行動予測, 数理科学実践研究レター, 2021-1, August 23, 2021.