Estimating individual-level optimal causal interventions combining causal models and machine learning models. - Keisuke Kiritoshi; Tomonori Izumitani; Kazuki Koyama; Tomomi Okawachi; Keisuke Asahara; Shohei Shimizu (CD@KDD, 2021)

Effective Nonlinear Feature Selection Method based on HSIC Lasso and with Variational Inference. - Kazuki Koyama; Keisuke Kiritoshi; Tomomi Okawachi; Tomonori Izumitani (AISTATS, 2022)

Prospects of Continual Causality for Industrial Applications. - Daigo Fujiwara; Kazuki Koyama; Keisuke Kiritoshi; Tomomi Okawachi; Tomonori Izumitani; Shohei Shimizu (AAAI Bridge Program, 2023)

Causal Discovery for Non-stationary Non-linear Time Series Data Using Just-In-Time Modeling. - Daigo Fujiwara; Kazuki Koyama; Keisuke Kiritoshi; Tomomi Okawachi; Tomonori Izumitani; Shohei Shimizu (CLeaR, 2023)