Tatsuhiro Shimizu
Scholar

Tatsuhiro Shimizu

Google Scholar ID: PSPLriMAAAAJ
Yale University
Machine Learning
Citations & Impact
All-time
Citations
14
 
H-index
2
 
i10-index
0
 
Publications
5
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • - Publications:
  • - Off-Policy Evaluation and Learning for the Future under Non-Stationarity
  • - Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits
  • - Doubly Robust Estimator for Off-Policy Evaluation with Large Action Spaces
  • - Diffusion Model in Causal Inference with Unmeasured Confounders
  • - Awards:
  • - 2023 Jul, Waseda University, Okuma Memorial Scholarship
  • - 2023 May, Yale University, End of Term Report
  • - 2022 Jul, Waseda University, Okuma Memorial Scholarship
  • - 2022 Mar, Waseda University, School of Political Science and Economics Dean’s Scholars Award
  • - 2021 Sep, The Glory of Waseda Scholarship
  • - Grants:
  • - 2023 Oct, Waseda University, School of Political Science and Economics Overseas Research Travel Grant Program
  • - 2023 Oct, IEEE CIS Conference Travel Grant
  • - Certifications:
  • - 2022 Mar, Japan Statistical Society Certificate Grade Pre-1
Research Experience
  • - 2023 Jun~2024 Aug, Hanjuku Kaso, Inc., Machine Learning Research Intern
  • - 2023 Jun~2024 Jul, CyberAgent, Inc. AI Lab, Machine Learning Research Intern
  • - 2022 Aug, Waseda University, Causal Inference Teaching Assistant
  • - 2022 Aug, XCat, Inc., Data Science Intern
  • - 2021 Sep, ADK Marketing Solutions, Data Analysis Intern
  • - 2021 Aug, MyNavi, Inc., Software Engineer Intern
Education
  • - Yale University, Department of Statistics and Data Science, Aug 2024~Dec 2026
  • - GPA: 4.00/4.00
  • - Scholarship: NSK Scholarship (USD 70,000 per year)
  • - Relevant Coursework: Deep Learning Theory and Applications, Causal Inference and Applied Machine Learning, Optimization and Computations, etc.
  • - Waseda University, School of Political Science and Economics, Apr 2020~Mar 2024
  • - Valedictorian
  • - GPA: 3.96/4.00
  • - Relevant Coursework: Advanced Causal Inference, Probabilistic Machine Learning, Natural Language Processing, etc.
  • - Yale College, Aug 2022~May 2023
  • - GPA: 3.95/4.00
  • - Relevant Coursework: C/C++ Programming, Database, Networking Technology, etc.
Background
  • - Research Interests: Machine Learning, Causal Inference
  • - Field of Study: Statistics and Data Science
  • - Bio: Master's student in Statistics and Data Science at Yale University
Miscellany
  • - Personal Interests: Not mentioned