Kohsuke Kubota

Data Scientist

NTT DOCOMO, INC.

About Me

I’m a data scientist at NTT DOCOMO, INC. My research interests include marketing science, Bayesian statistics, causal inference, machine learning, and deep neural network. I’m a Ph.D. in Economics at Keio University, where I’m fortunate to be advised by Prof. Takahiro Hoshino.

Interests
  • Marketing Science
  • Bayesian Statistics
  • Causal Inference
Education

  • Ph.D. in Economics

    Keio University

  • Master of Informatics

    Kyoto University

  • Bachelor of Engineering

    Kyoto University

Publications
Kohsuke Kubota, Shonosuke Sugasawa (2026). Causal Inference under Threshold Manipulation: Bayesian Mixture Modeling and Heterogeneous Treatment Effects. In Proceedings of the The 40th Annual AAAI Conference on Artificial Intelligence (AAAI) (Acceptance Rate = 17.6%).
PDF DOI
Kohsuke Kubota, Shonosuke Sugasawa (2025). Causal Inference under Threshold Manipulation: A Bayesian Mixture Approach. In KDD 2025 3rd Workshop on Causal Inference and Machine Learning in Practice.
PDF
Yuki Murakami, Kohsuke Kubota, Takumi Hattori, Keiichi Ochiai (2025). Estimation of Single and Synergistic Treatment Effects under Multiple Treatments with Deep Neural Networks. In KDD 2025 3rd Workshop on Causal Inference and Machine Learning in Practice.
PDF
Kohsuke Kubota, Shonosuke Sugasawa, Keiichi Ochiai, Takahiro Hoshino (2025). Bayesian Time-Varying Meta-Analysis via Hierarchical Mean-Variance Random-effects Models. In Japanese Journal of Statistics and Data Science (Impact Factor = 1.0).
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Kohsuke Kubota, Keiichi Ochiai, Takahiro Hoshino (2025). Causal effect of lottery promotions on post-win payments: Evidence from a large field experiment . In Innovative Marketing (Impact Factor = 1.2, Acceptance Rate = 33%).
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Journal Reviewer

  • Asia Pacific Journal of Marketing and Logistics