Tomomi Okawachi

According to our database, Tomomi Okawachi authored at least 4 papers between 2021 and 2023.

Collaborative distances:

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

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

Proceedings of the Conference on Causal Learning and Reasoning, 2023

Prospects of Continual Causality for Industrial Applications.

Daigo Fujiwara, Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani, Shohei Shimizu

Proceedings of the AAAI Bridge Program on Continual Causality, 2023

2022

Effective Nonlinear Feature Selection Method based on HSIC Lasso and with Variational Inference.

Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

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

Proceedings of the KDD 2021 Workshop on Causal Discovery, 2021