| 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 | 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 | 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 | ICDM | Temporal Positive Collective Matrix Factorization for Interpretable Trend Analysis in Recommender Systems. | Tomofumi Hara, Yuki Sumiya, 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 |
| 2020 | WSDM | Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback. | Yuta Saito, Suguru Yaginuma, Yuta Nishino, Hayato Sakata, Kazuhide Nakata |
| 2020 | SDM | Cost-Effective and Stable Policy Optimization Algorithm for Uplift Modeling with Multiple Treatments. | Yuta Saito, Hayato Sakata, Kazuhide Nakata |
| 2019 | SDM | Doubly Robust Prediction and Evaluation Methods Improve Uplift Modeling for Observational Data. | Yuta Saito, Hayato Sakata, Kazuhide Nakata |