Distributionally Robust Safe Screening. - Hiroyuki Hanada; Satoshi Akahane; Tatsuya Aoyama; Tomonari Tanaka; Yoshito Okura; Yu Inatsu; Noriaki Hashimoto; Taro Murayama; Hanju Lee; Shinya Kojima; Ichiro Takeuchi (CoRR, 2024)

Distributionally Robust Safe Sample Screening. - Hiroyuki Hanada; Tatsuya Aoyama; Satoshi Akahane; Tomonari Tanaka; Yoshito Okura; Yu Inatsu; Noriaki Hashimoto; Shion Takeno; Taro Murayama; Hanju Lee; Shinya Kojima; Ichiro Takeuchi (CoRR, 2024)

Distributionally Robust Coreset Selection under Covariate Shift. - Tomonari Tanaka; Hiroyuki Hanada; Hanting Yang; Tatsuya Aoyama; Yu Inatsu; Satoshi Akahane; Yoshito Okura; Noriaki Hashimoto; Taro Murayama; Hanju Lee; Shinya Kojima; Ichiro Takeuchi (Trans. Mach. Learn. Res., 2025)

Generalized Kernel Inducing Points by Duality Gap for Dataset Distillation. - Tatsuya Aoyama; Hanting Yang; Hiroyuki Hanada; Satoshi Akahane; Tomonari Tanaka; Yoshito Okura; Yu Inatsu; Noriaki Hashimoto; Taro Murayama; Hanju Lee; Shinya Kojima; Ichiro Takeuchi (CoRR, 2025)

Distributionally Robust Active Learning for Gaussian Process Regression. - Shion Takeno; Yoshito Okura; Yu Inatsu; Tatsuya Aoyama; Tomonari Tanaka; Satoshi Akahane; Hiroyuki Hanada; Noriaki Hashimoto; Taro Murayama; Hanju Lee; Shinya Kojima; Ichiro Takeuchi (CoRR, 2025)