Kentaro Kanamori

According to our database, Kentaro Kanamori authored at least 14 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

I-CAM-UV: Integrating Causal Graphs over Non-Identical Variable Sets Using Causal Additive Models with Unobserved Variables.

Hirofumi Suzuki, Kentaro Kanamori, Takuya Takagi, Thong Pham, Takashi Nicholas Maeda, Shohei Shimizu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Sparse Additive Model Pruning for Order-Based Causal Structure Learning.

Kentaro Kanamori, Hirofumi Suzuki, Takuya Takagi

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

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

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

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

Subgrouping Causal Networks of Disease Onset in Large-scale Health and Medical Data using Supercomputer Fugaku.

Taisei Tosaki, Eiichiro Uchino, Yohei Harada, Minoru Sakuragi, Yusuke Koyanagi, Seiji Okajima, Hirofumi Suzuki, Kentaro Kanamori, Masahiro Asaoka, Kouji Kurihara, Takuya Takagi, Koji Maruhashi, Yoshinori Tamada, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yasushi Okuno

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Counterfactual Explanation with Missing Values.

Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike

CoRR, 2023

Learning Locally Interpretable Rule Ensemble.

Kentaro Kanamori

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

Computing the Collection of Good Models for Rule Lists.

Kota Mata, Kentaro Kanamori, Hiroki Arimura

CoRR, 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

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

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

2019

Enumeration of Distinct Support Vectors for Interactive Decision Making.

Kentaro Kanamori, Satoshi Hara, Masakazu Ishihata, Hiroki Arimura

CoRR, 2019