I'm a graduate student in statistics.
Data Science Research Group,
Graduate School of Engineering Science, Osaka University
1-3 Machikaneyama-cho, Toyonaka, Osaka 560-8531
yuchi_m [ at ] icloud.com
Kernel methods
- Kernel mean embedding and its applications.
Causal Inference
- Nonparametric inference for Rubin causal model.
Statistical Learning Theory
- Generalization error evaluation based on empirical process.
2018.3 M.Eng. Graduate School of Engineering Science, Osaka University, Japan
2016.3 B.Eng. Department of Information and Computer Sciences, School of Engineering Science, Osaka University, Japan
2016.9 Data Analyst Summer Internship, Recruit Holdings Co.,Ltd.
2016.1~2016.3 Machine Learning Engineer Internship, Passible Co.,Ltd.
2017.7 "Göttingen International Summer School Data Science" at Georg-August-Universität Göttingen. Supported by MMDS scholarship.
- Graduate School of Engineering Science Award. March, 2018.
- JSAI-DOCMAS, Data Analysis & Simulation Hackathon, 1st Prize(team). October, 2017.
- Recruit Natural Language Processing Hackathon, 1st Prize(solo). March, 2017.
- The Institute of Actuaries of Japan, Student Fellow. December, 2014-.
- Y. Matsuoka and E. Hamada, Estimation of Propensity Scores for Covariate Balancing in Hilbert Spaces. Japan Statistical Society. Tokyo, Japan. Poster presentation. March, 2018. (Domestic Conference)
- Y. Matsuoka and E. Hamada, Nonparametric causal inference by the kernel method. IASC-ARS/NZSA. Auckland, New Zealand. Oral presentation. December, 2017. (International Conference) [Abstract]
- Y. Matsuoka and E. Hamada, Nonparametric causal inference by the kernel method. Japanese Joint Statistical Meeting. Nagoya, Japan. Oral presentation (in Japanese). September, 2017. (Domestic Conference)
- Y. Matsuoka, Kernel Mean Embedding of Rubin Causal Model. Young Statisticians' Group Summer Seminar. Tochigi, Japan. Oral presentation (in Japanese). August, 2017. (Misc.)
- Y. Matsuoka and E. Hamada, Estimation of Average Treatment Effect by Kernel Mean Embeddings. Japan Statistical Society. Tokyo, Japan. Poster presentation (in Japanese). March, 2017. (Domestic Conference)
- Y. Matsuoka, Regularization Parameter Selection of SVM based on Consistency. Young Statisticians' Group Summer Seminar. Chiba, Japan. Oral presentation (in Japanese). August, 2016. (Misc.)