Grafting Robot. - Ken Kobayashi; Masato Suzuki; Sadao Sasaya (J. Robotics Mechatronics, 1999)

Log-Periodic Dipole Antenna Array-Type Optical Electric Field Sensor. - Naomi Hidaka; Ken Kobayashi; Hideaki Sugama; Ryo Usui; Yoshihiro Tanabe; Osamu Hashimoto (IEICE Trans. Electron., 2005)

Contact-Based Stiffness Sensing of Human Eye. - Yuichi Kurita; Roland Kempf; Yoshichika Iida; Jumpei Okude; Makoto Kaneko; Hiromu K. Mishima; Hidetoshi Tsukamoto; Eiichiro Sugimoto; Seiki Katakura; Ken Kobayashi; Yoshiaki Kiuchi (IEEE Trans. Biomed. Eng., 2008)

Bézier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-Objective Optimization. - Ken Kobayashi; Naoki Hamada; Akiyoshi Sannai; Akinori Tanaka; Kenichi Bannai; Masashi Sugiyama (AAAI, 2019)

Automatic Neural Network Search Method for Open Set Recognition. - Li Sun 007; Xiaoyi Yu; Liuan Wang; Jun Sun 004; Hiroya Inakoshi; Ken Kobayashi; Hiromichi Kobashi (ICIP, 2019)

A Case Study on Neural Headline Generation for Editing Support. - Kazuma Murao; Ken Kobayashi; Hayato Kobayashi; Taichi Yatsuka; Takeshi Masuyama; Tatsuru Higurashi; Yoshimune Tabuchi (NAACL-HLT (2), 2019)

Mixed integer quadratic optimization formulations for eliminating multicollinearity based on variance inflation factor. - Ryuta Tamura; Ken Kobayashi; Yuichi Takano; Ryuhei Miyashiro; Kazuhide Nakata; Tomomi Matsui (J. Glob. Optim., 2019)

Asymptotic Risk of Bézier Simplex Fitting. - Akinori Tanaka; Akiyoshi Sannai; Ken Kobayashi; Naoki Hamada (AAAI, 2020)

DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization. - Kentaro Kanamori; Takuya Takagi; Ken Kobayashi; Hiroki Arimura (IJCAI, 2020)

A branch-and-cut algorithm for solving mixed-integer semidefinite optimization problems. - Ken Kobayashi; Yuichi Takano (Comput. Optim. Appl., 2020)

Prediction of hierarchical time series using structured regularization and its application to artificial neural networks. - Tomokaze Shiratori; Ken Kobayashi; Yuichi Takano (CoRR, 2020)

Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization. - Kentaro Kanamori; Takuya Takagi; Ken Kobayashi; Yuichi Ike; Kento Uemura; Hiroki Arimura (AAAI, 2021)

A Case Study of In-House Competition for Ranking Constructive Comments in a News Service. - Hayato Kobayashi; Hiroaki Taguchi; Yoshimune Tabuchi; Chahine Koleejan; Ken Kobayashi; Soichiro Fujita; Kazuma Murao; Takeshi Masuyama; Taichi Yatsuka; Manabu Okumura; Satoshi Sekine (SocialNLP@NAACL, 2021)

Soft-Material-Based Highly Reliable Tri-Axis Tactile Thin-Film Sensors for Robotic Manipulation Tasks. - Kei Tsukamoto; Akira Ebisui; Tetsuro Goto; Yoshiaki Sakakura; Ken Kobayashi; Satoshi Sato; Takahiro Kamei; Yutaka Imai; Kazumasa Nomoto (IEEE SENSORS, 2021)

Approximate Bayesian Computation of Bézier Simplices. - Akinori Tanaka; Akiyoshi Sannai; Ken Kobayashi; Naoki Hamada (CoRR, 2021)

Bilevel cutting-plane algorithm for cardinality-constrained mean-CVaR portfolio optimization. - Ken Kobayashi; Yuichi Takano; Kazuhide Nakata (J. Glob. Optim., 2021)

Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees. - Kentaro Kanamori; Takuya Takagi; Ken Kobayashi; Yuichi Ike (AISTATS, 2022)

A two-phase framework with a bézier simplex-based interpolation method for computationally expensive multi-objective optimization. - Ryoji Tanabe; Youhei Akimoto; Ken Kobayashi; Hiroshi Umeki; Shinichi Shirakawa; Naoki Hamada (GECCO, 2022)

Decision Tree Clustering for Time Series Data: An Approach for Enhanced Interpretability and Efficiency. - Masaki Higashi; Minje Sung; Daiki Yamane; Kenta Inamuro; Shota Nagai; Ken Kobayashi; Kazuhide Nakata (PRICAI (2), 2023)

Counterfactual Explanation with Missing Values. - Kentaro Kanamori; Takuya Takagi; Ken Kobayashi; Yuichi Ike (CoRR, 2023)

An IPW-based Unbiased Ranking Metric in Two-sided Markets. - Keisho Oh; Naoki Nishimura; Minje Sung; Ken Kobayashi; Kazuhide Nakata (CoRR, 2023)

SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation. - Haruka Kiyohara; Ren Kishimoto; Kosuke Kawakami; Ken Kobayashi; Kazuhide Nakata; Yuta Saito (CoRR, 2023)

Cardinality-constrained distributionally robust portfolio optimization. - Ken Kobayashi; Yuichi Takano; Kazuhide Nakata (Eur. J. Oper. Res., 2023)

Zero-shot Demand Forecasting for Products with Limited Sales Periods. - Shota Nagai; Ryota Inaba; Rei Oishi; Shuhei Aikawa; Yusuke Mibuchi; Hinata Moriyama; Ken Kobayashi; Kazuhide Nakata (IEEE Big Data, 2024)

Zero-Inflated Poisson Tensor Factorization for Sparse Purchase Data in E-Commerce Markets. - Keisuke Mizutani; Ayaka Ueta; Ryota Ueda; Ray Oishi; Tomofumi Hara; Yuki Hoshino; Ken Kobayashi; Kazuhide Nakata (ICIEA-EU, 2024)

Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation. - Haruka Kiyohara; Ren Kishimoto; Kosuke Kawakami; Ken Kobayashi; Kazuhide Nakata; Yuta Saito (ICLR, 2024)

Learning Decision Trees and Forests with Algorithmic Recourse. - Kentaro Kanamori; Takuya Takagi; Ken Kobayashi; Yuichi Ike (ICML, 2024)

Balancing Immediate Revenue and Future Off-Policy Evaluation in Coupon Allocation. - Naoki Nishimura; Ken Kobayashi; Kazuhide Nakata (PRICAI (4), 2024)

Distribution-Aligned Sequential Counterfactual Explanation with Local Outlier Factor. - Shoki Yamao; Ken Kobayashi; Kentaro Kanamori; Takuya Takagi; Yuichi Ike; Kazuhide Nakata (PRICAI (1), 2024)

Stochastic Gradient Descent for Bézier Simplex Representation of Pareto Set in Multi-Objective Optimization. - Yasunari Hikima; Ken Kobayashi; Akinori Tanaka; Akiyoshi Sannai; Naoki Hamada (AISTATS, 2025)

Online Joint Optimization of Sponsored Search Ad Bid Amounts and Product Prices on e-Commerce. - Shoichiro Koguchi; Kazuhide Nakata; Ken Kobayashi; Kosuke Kawakami; Takenori Nakajima; Kevin Kratzer (ICORES, 2025)

Bézier Flow: a Surface-wise Gradient Descent Method for Multi-objective Optimization. - Akiyoshi Sannai; Yasunari Hikima; Ken Kobayashi; Akinori Tanaka; Naoki Hamada (Trans. Mach. Learn. Res., 2025)

Interior-Point Vanishing Problem in Semidefinite Relaxations for Neural Network Verification. - Ryota Ueda; Takami Sato; Ken Kobayashi; Kazuhide Nakata (CoRR, 2025)