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Ken Kobayashi
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Journal Articles
- 2023
- [j7]Ken Kobayashi
, Yuichi Takano, Kazuhide Nakata:
Cardinality-constrained distributionally robust portfolio optimization. Eur. J. Oper. Res. 309(3): 1173-1182 (2023) - 2021
- [j6]Ken Kobayashi
, Yuichi Takano, Kazuhide Nakata:
Bilevel cutting-plane algorithm for cardinality-constrained mean-CVaR portfolio optimization. J. Glob. Optim. 81(2): 493-528 (2021) - 2020
- [j5]Ken Kobayashi
, Yuichi Takano:
A branch-and-cut algorithm for solving mixed-integer semidefinite optimization problems. Comput. Optim. Appl. 75(2): 493-513 (2020) - 2019
- [j4]Ryuta Tamura, Ken Kobayashi
, Yuichi Takano, Ryuhei Miyashiro
, Kazuhide Nakata, Tomomi Matsui
:
Mixed integer quadratic optimization formulations for eliminating multicollinearity based on variance inflation factor. J. Glob. Optim. 73(2): 431-446 (2019) - 2008
- [j3]Yuichi Kurita
, Roland Kempf, Yoshichika Iida, Jumpei Okude, Makoto Kaneko, Hiromu K. Mishima, Hidetoshi Tsukamoto, Eiichiro Sugimoto, Seiki Katakura, Ken Kobayashi, Yoshiaki Kiuchi:
Contact-Based Stiffness Sensing of Human Eye. IEEE Trans. Biomed. Eng. 55(2): 739-745 (2008) - 2005
- [j2]Naomi Hidaka, Ken Kobayashi, Hideaki Sugama, Ryo Usui, Yoshihiro Tanabe, Osamu Hashimoto:
Log-Periodic Dipole Antenna Array-Type Optical Electric Field Sensor. IEICE Trans. Electron. 88-C(1): 98-104 (2005) - 1999
- [j1]Ken Kobayashi, Masato Suzuki, Sadao Sasaya:
Grafting Robot. J. Robotics Mechatronics 11(3): 213-219 (1999)
Conference and Workshop Papers
- 2024
- [c13]Keisuke Mizutani, Ayaka Ueta, Ryota Ueda, Ray Oishi, Tomofumi Hara, Yuki Hoshino, Ken Kobayashi, Kazuhide Nakata:
Zero-Inflated Poisson Tensor Factorization for Sparse Purchase Data in E-Commerce Markets. ICIEA-EU 2024: 158-171 - [c12]Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito:
Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation. ICLR 2024 - 2023
- [c11]Masaki Higashi, Minje Sung, Daiki Yamane, Kenta Inamuro, Shota Nagai, Ken Kobayashi
, Kazuhide Nakata:
Decision Tree Clustering for Time Series Data: An Approach for Enhanced Interpretability and Efficiency. PRICAI (2) 2023: 457-468 - 2022
- [c10]Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike:
Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees. AISTATS 2022: 1846-1870 - [c9]Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi
, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada:
A two-phase framework with a bézier simplex-based interpolation method for computationally expensive multi-objective optimization. GECCO 2022: 601-610 - 2021
- [c8]Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike
, Kento Uemura, Hiroki Arimura:
Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization. AAAI 2021: 11564-11574 - [c7]Hayato Kobayashi, Hiroaki Taguchi, Yoshimune Tabuchi, Chahine Koleejan, Ken Kobayashi, Soichiro Fujita, Kazuma Murao, Takeshi Masuyama, Taichi Yatsuka, Manabu Okumura, Satoshi Sekine:
A Case Study of In-House Competition for Ranking Constructive Comments in a News Service. SocialNLP@NAACL 2021: 24-35 - [c6]Kei Tsukamoto, Akira Ebisui, Tetsuro Goto, Yoshiaki Sakakura, Ken Kobayashi, Satoshi Sato, Takahiro Kamei, Yutaka Imai, Kazumasa Nomoto:
Soft-Material-Based Highly Reliable Tri-Axis Tactile Thin-Film Sensors for Robotic Manipulation Tasks. IEEE SENSORS 2021: 1-4 - 2020
- [c5]Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada:
Asymptotic Risk of Bézier Simplex Fitting. AAAI 2020: 2416-2424 - [c4]Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Hiroki Arimura:
DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization. IJCAI 2020: 2855-2862 - 2019
- [c3]Ken Kobayashi, Naoki Hamada, Akiyoshi Sannai, Akinori Tanaka, Kenichi Bannai, Masashi Sugiyama:
Bézier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-Objective Optimization. AAAI 2019: 2304-2313 - [c2]Li Sun
, Xiaoyi Yu, Liuan Wang, Jun Sun
, Hiroya Inakoshi, Ken Kobayashi
, Hiromichi Kobashi:
Automatic Neural Network Search Method for Open Set Recognition. ICIP 2019: 4090-4094 - [c1]Kazuma Murao, Ken Kobayashi, Hayato Kobayashi, Taichi Yatsuka, Takeshi Masuyama, Tatsuru Higurashi, Yoshimune Tabuchi:
A Case Study on Neural Headline Generation for Editing Support. NAACL-HLT (2) 2019: 73-82
Informal and Other Publications
- 2024
- [i13]Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike:
Learning Decision Trees and Forests with Algorithmic Recourse. CoRR abs/2406.01098 (2024) - [i12]Naoki Nishimura, Ken Kobayashi, Kazuhide Nakata:
Balancing Immediate Revenue and Future Off-Policy Evaluation in Coupon Allocation. CoRR abs/2407.11039 (2024) - 2023
- [i11]Kentaro Kanamori, Takuya Takagi, Ken Kobayashi
, Yuichi Ike:
Counterfactual Explanation with Missing Values. CoRR abs/2304.14606 (2023) - [i10]Keisho Oh, Naoki Nishimura, Minje Sung, Ken Kobayashi, Kazuhide Nakata:
An IPW-based Unbiased Ranking Metric in Two-sided Markets. CoRR abs/2307.10204 (2023) - [i9]Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi
, Kazuhide Nakata, Yuta Saito:
SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation. CoRR abs/2311.18206 (2023) - [i8]Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi
, Kazuhide Nakata, Yuta Saito:
Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation. CoRR abs/2311.18207 (2023) - 2022
- [i7]Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi
, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada:
A Two-phase Framework with a Bézier Simplex-based Interpolation Method for Computationally Expensive Multi-objective Optimization. CoRR abs/2203.15292 (2022) - [i6]Akiyoshi Sannai, Yasunari Hikima, Ken Kobayashi
, Akinori Tanaka, Naoki Hamada:
Bézier Flow: a Surface-wise Gradient Descent Method for Multi-objective Optimization. CoRR abs/2205.11099 (2022) - 2021
- [i5]Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada:
Approximate Bayesian Computation of Bézier Simplices. CoRR abs/2104.04679 (2021) - [i4]Ken Kobayashi, Yuichi Takano, Kazuhide Nakata:
Cardinality-constrained Distributionally Robust Portfolio Optimization. CoRR abs/2112.12454 (2021) - 2020
- [i3]Tomokaze Shiratori, Ken Kobayashi, Yuichi Takano:
Prediction of hierarchical time series using structured regularization and its application to artificial neural networks. CoRR abs/2007.15159 (2020) - [i2]Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike, Kento Uemura, Hiroki Arimura:
Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization. CoRR abs/2012.11782 (2020) - 2019
- [i1]Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada:
Asymptotic Risk of Bezier Simplex Fitting. CoRR abs/1906.06924 (2019)
Coauthor Index
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