Kobayashi, Ken

13 publications

TMLR 2026 Hierarchical Time Series Forecasting with Robust Reconciliation Shuhei Aikawa, Aru Suzuki, Kei Yoshitake, Kanata Teshigawara, Iwabuchi Akira, Ken Kobayashi, Kazuhide Nakata

ICML 2025 Algorithmic Recourse for Long-Term Improvement Kentaro Kanamori, Ken Kobayashi, Satoshi Hara, Takuya Takagi

TMLR 2025 Bézier Flow: A Surface-Wise Gradient Descent Method for Multi-Objective Optimization Akiyoshi Sannai, Yasunari Hikima, Ken Kobayashi, Akinori Tanaka, Naoki Hamada

NeurIPS 2025 Learning Gradient Boosted Decision Trees with Algorithmic Recourse Kentaro Kanamori, Ken Kobayashi, Takuya Takagi

AISTATS 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

ICML 2024 Learning Decision Trees and Forests with Algorithmic Recourse Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike

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

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

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

NeurIPSW 2020 Application of Topological Data Analysis to Delirium Detection Mari Kajitani, Ken Kobayashi, Yuichi Ike, Takehiko Yamanashi, Yuhei Umeda, Yoshimasa Kadooka, Gen Shinozaki

AAAI 2020 Asymptotic Risk of Bézier Simplex Fitting Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada

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

AAAI 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