Ken Kobayashi

According to our database, Ken Kobayashi authored at least 42 papers between 1999 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Kd-tree Based Wasserstein Distance Approximation for High-Dimensional Data.

Kanata Teshigawara, Keisho Oh, Ken Kobayashi, Kazuhide Nakata

CoRR, January, 2026

Hierarchical Time Series Forecasting with Robust Reconciliation.

Shuhei Aikawa, Aru Suzuki, Kei Yoshitake, Kanata Teshigawara, Akira Iwabuchi, Ken Kobayashi, Kazuhide Nakata

Trans. Mach. Learn. Res., 2026

The Electric Vehicle Routing Problem with Hard Time Windows and Nonlinear Charging and Discharging.

Kai Yoshida, Ken Kobayashi, Kazuma Kawai, Yutaro Ito, Noriaki Ikemoto, Kazuhide Nakata

Proceedings of the 15th International Conference on Operations Research and Enterprise Systems, 2026

2025

Content-Aware Ad Banner Layout Generation with Two-Stage Chain-of-Thought in Vision Language Models.

Kei Yoshitake, Kento Hosono, Ken Kobayashi, Kazuhide Nakata

CoRR, December, 2025

Interior-Point Vanishing Problem in Semidefinite Relaxations for Neural Network Verification.

Ryota Ueda, Takami Sato, Ken Kobayashi, Kazuhide Nakata

CoRR, June, 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

Learning Gradient Boosted Decision Trees with Algorithmic Recourse.

Kentaro Kanamori, Ken Kobayashi, Takuya Takagi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

Proceedings of the 14th International Conference on Operations Research and Enterprise Systems, 2025

Algorithmic Recourse for Long-Term Improvement.

Kentaro Kanamori, Ken Kobayashi, Satoshi Hara, Takuya Takagi

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Robust Prescriptive Pricing under Competitor Price Uncertainty.

Shoki Yamao, Yusuke Mibuchi, Kai Yoshida, Jingqi Wu, Yukina Nakagawa, Yoshimi Nakaya, Ken Kobayashi, Kazuhide Nakata

Proceedings of the IEEE International Conference on Big Data, 2025

Classification of Strategic Patents Under the Scarcity of Labeled Data.

Kohdai Toyoda, Yoshimasa Utsumi, Ken Kobayashi, Kazuhide Nakata

Proceedings of the IEEE International Conference on Big Data, 2025

Stochastic Gradient Descent for Bézier Simplex Representation of Pareto Set in Multi-Objective Optimization.

Yasunari Hikima, Ken Kobayashi, Akinori Tanaka, Akiyoshi Sannai, Naoki Hamada

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Distribution-Aligned Sequential Counterfactual Explanation with Local Outlier Factor.

Shoki Yamao, Ken Kobayashi, Kentaro Kanamori, Takuya Takagi, Yuichi Ike, Kazuhide Nakata

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Balancing Immediate Revenue and Future Off-Policy Evaluation in Coupon Allocation.

Naoki Nishimura, Ken Kobayashi, Kazuhide Nakata

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Decision Diagram Optimization for Allocating Patients to Medical Diagnosis.

Aru Suzuki, Ken Kobayashi, Kazuhide Nakata, Yuta Kurume, Naoyuki Sawasaki, Yuki Sasamoto

Proceedings of the Operations Research Proceedings 2024: Selected Papers of the International Conference of the German, 2024

Learning Decision Trees and Forests with Algorithmic Recourse.

Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation.

Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Industrial Engineering and Applications - Europe, 2024

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

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Cardinality-constrained distributionally robust portfolio optimization.

Ken Kobayashi, Yuichi Takano, Kazuhide Nakata

Eur. J. Oper. Res., 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

An IPW-based Unbiased Ranking Metric in Two-sided Markets.

Keisho Oh, Naoki Nishimura, Minje Sung, Ken Kobayashi, Kazuhide Nakata

CoRR, 2023

Counterfactual Explanation with Missing Values.

Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike

CoRR, 2023

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

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

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

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees.

Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Bilevel cutting-plane algorithm for cardinality-constrained mean-CVaR portfolio optimization.

Ken Kobayashi, Yuichi Takano, Kazuhide Nakata

J. Glob. Optim., 2021

Approximate Bayesian Computation of Bézier Simplices.

Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada

CoRR, 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

Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 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

Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media, 2021

Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization.

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Prediction of hierarchical time series using structured regularization and its application to artificial neural networks.

Tomokaze Shiratori, Ken Kobayashi, Yuichi Takano

CoRR, 2020

A branch-and-cut algorithm for solving mixed-integer semidefinite optimization problems.

Ken Kobayashi, Yuichi Takano

Comput. Optim. Appl., 2020

DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization.

Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Hiroki Arimura

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Asymptotic Risk of Bézier Simplex Fitting.

Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

A Case Study on Neural Headline Generation for Editing Support.

Kazuma Murao, Ken Kobayashi, Hayato Kobayashi, Taichi Yatsuka, Takeshi Masuyama, Tatsuru Higurashi, Yoshimune Tabuchi

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Automatic Neural Network Search Method for Open Set Recognition.

Li Sun, Xiaoyi Yu, Liuan Wang, Jun Sun, Hiroya Inakoshi, Ken Kobayashi, Hiromichi Kobashi

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2008

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

2005

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

1999

Grafting Robot.

Ken Kobayashi, Masato Suzuki, Sadao Sasaya

J. Robotics Mechatronics, 1999