Kentaro Kanamori

18 papers A* 6A 1Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	I-CAM-UV: Integrating Causal Graphs over Non-Identical Variable Sets Using Causal Additive Models with Unobserved Variables. AAAI Hirofumi Suzuki, Kentaro Kanamori, Takuya Takagi, Thong Pham, Takashi Nicholas Maeda, Shohei Shimizu
2026	J	`jnl`	I-CAM-UV: Integrating Causal Graphs over Non-Identical Variable Sets Using Causal Additive Models with Unobserved Variables. CoRR Hirofumi Suzuki, Kentaro Kanamori, Takuya Takagi, Thong Pham, Takashi Nicholas Maeda, Shohei Shimizu
2026	A*	`conf`	Sparse Additive Model Pruning for Order-Based Causal Structure Learning. AAAI Kentaro Kanamori, Hirofumi Suzuki, Takuya Takagi
2026	J	`jnl`	Sparse Additive Model Pruning for Order-Based Causal Structure Learning. CoRR Kentaro Kanamori, Hirofumi Suzuki, Takuya Takagi
2025	A*	`conf`	Algorithmic Recourse for Long-Term Improvement. ICML Kentaro Kanamori, Ken Kobayashi, Satoshi Hara, Takuya Takagi
2024	—	`conf`	Distribution-Aligned Sequential Counterfactual Explanation with Local Outlier Factor. PRICAI (1) Shoki Yamao, Ken Kobayashi, Kentaro Kanamori, Takuya Takagi, Yuichi Ike, Kazuhide Nakata
2024	A*	`conf`	Learning Decision Trees and Forests with Algorithmic Recourse. ICML Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike
2024	J	`jnl`	Learning Decision Trees and Forests with Algorithmic Recourse. CoRR Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike
2024	—	`conf`	Subgrouping Causal Networks of Disease Onset in Large-scale Health and Medical Data using Supercomputer Fugaku. BIBM 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
2023	J	`jnl`	Counterfactual Explanation with Missing Values. CoRR Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike
2023	—	`conf`	Learning Locally Interpretable Rule Ensemble. ECML/PKDD (3) Kentaro Kanamori
2023	J	`jnl`	Learning Locally Interpretable Rule Ensemble. CoRR Kentaro Kanamori
2022	J	`jnl`	Computing the Collection of Good Models for Rule Lists. CoRR Kota Mata, Kentaro Kanamori, Hiroki Arimura
2022	A	`conf`	Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees. AISTATS Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike
2021	A*	`conf`	Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization. AAAI Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike, Kento Uemura, Hiroki Arimura
2020	A*	`conf`	DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization. IJCAI Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Hiroki Arimura
2020	J	`jnl`	Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization. CoRR Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike, Kento Uemura, Hiroki Arimura
2019	J	`jnl`	Enumeration of Distinct Support Vectors for Interactive Decision Making. CoRR Kentaro Kanamori, Satoshi Hara, Masakazu Ishihata, Hiroki Arimura