Tatsuhiro Shimizu

Tatsuhiro Shimizu

Hi, I am interested in Causal Inference, Machine Learning, and Natural Language Processing

About Me

Hi there! My name is Tatsuhiro Shimizu. I am a Master’s student in Statistics and Data Science at Yale University.

Research Interest

  • Theory
    • Artificial General Intelligence
    • Machine Learning
      • Large Language Models
      • Reinforcement Learning
    • Causal Inference
  • Applied Area
    • Precision Medicine
    • Recommender Systems
    • Personalized Education

Education

Work Experience

Publications

  1. Shimizu, T., Tanaka, K., Kishimoto, R., Kiyohara, H., Nomura, M., and Saito, Y. “Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits.” Proceedings of the 18th ACM Conference on Recommender Systems_. https://arxiv.org/abs/2408.11202
  2. Shimizu, T. and Forastiere, L. Doubly Robust Estimator for Off-Policy Evaluation with Large Action Spaces. in Proceedings of the 2023 IEEE Symposium Series on Computational Intelligence. arXiv:2308.03443[stat.ML]. https://arxiv.org/abs/2308.03443
  3. Shimizu, T. Diffusion Model in Causal Inference with Unmeasured Confounders in Proceedings of the 2023 IEEE Symposium Series on Computational Intelligence、 arXiv:2308.03669 [cs.LG].https://arxiv.org/abs/2308.03669

Awards

Grants

Certifications

Membership

Volunteering

Language

  • Japanese (native)
  • English (IELTS Academic Overall 7.5)

Hobby