Takagi, Takuya

9 publications

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

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

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

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

CLeaR 2022 A Multivariate Causal Discovery Based on Post-Nonlinear Model Kento Uemura, Takuya Takagi, Kambayashi Takayuki, Hiroyuki Yoshida, Shohei Shimizu

AAAI 2022 Explainable and Local Correction of Classification Models Using Decision Trees Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Keisuke Goto, Yuta Fujishige, Satoshi Hara

NeurIPS 2022 Exploring the Whole Rashomon Set of Sparse Decision Trees Rui Xin, Chudi Zhong, Zhi Chen, Takuya Takagi, Margo Seltzer, Cynthia Rudin

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

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