| 2026 | ICORES | 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 |
| 2026 | PAKDD | Bid Optimization for Search Advertising in Non-stationary Environment. | Shuhei Aikawa, Ken Kobayashi, Masahiro Asami, Kosuke Kawakami, Kazuhide Nakata |
| 2025 | AISTATS | Stochastic Gradient Descent for Bzier Simplex Representation of Pareto Set in Multi-Objective Optimization. | Yasunari Hikima, Ken Kobayashi, Akinori Tanaka, Akiyoshi Sannai, Naoki Hamada |
| 2025 | ICML | Algorithmic Recourse for Long-Term Improvement. | Kentaro Kanamori, Ken Kobayashi, Satoshi Hara, Takuya Takagi |
| 2025 | ICORES | 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 |
| 2024 | ICLR | Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation. | Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito |
| 2024 | ICML | Learning Decision Trees and Forests with Algorithmic Recourse. | Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike |
| 2024 | PRICAI | Balancing Immediate Revenue and Future Off-Policy Evaluation in Coupon Allocation. | Naoki Nishimura, Ken Kobayashi, Kazuhide Nakata |
| 2024 | PRICAI | Distribution-Aligned Sequential Counterfactual Explanation with Local Outlier Factor. | Shoki Yamao, Ken Kobayashi, Kentaro Kanamori, Takuya Takagi, Yuichi Ike, Kazuhide Nakata |
| 2023 | PRICAI | 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 |
| 2022 | AISTATS | Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees. | Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike |
| 2022 | GECCO | A two-phase framework with a bzier simplex-based interpolation method for computationally expensive multi-objective optimization. | Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada |
| 2021 | AAAI | Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization. | Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike, Kento Uemura, Hiroki Arimura |
| 2020 | AAAI | Asymptotic Risk of Bzier Simplex Fitting. | Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada |
| 2020 | IJCAI | DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization. | Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Hiroki Arimura |
| 2019 | AAAI | Bzier 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 |
| 2019 | ICIP | Automatic Neural Network Search Method for Open Set Recognition. | Li Sun, Xiaoyi Yu, Liuan Wang, Jun Sun, Hiroya Inakoshi, Ken Kobayashi, Hiromichi Kobashi |
| 2019 | NAACL | A Case Study on Neural Headline Generation for Editing Support. | Kazuma Murao, Ken Kobayashi, Hayato Kobayashi, Taichi Yatsuka, Takeshi Masuyama, Tatsuru Higurashi, Yoshimune Tabuchi |