Masahiro Fujisawa (藤澤 将広)
1st Year Ph.D. Candidate
The University of Tokyo / RIKEN AIP
About me
I’m a 1st year Ph.D. Candidate in Sato laboratory (Supervisor: Prof. Issei Sato), Department of Complexity Science and Engineering, The University of Tokyo. Further, I’m a Junior Research Associate at the Imperfect Information Learning Team, RIKEN AIP (PI: Prof. Masashi Sugiyama).
My research interest is Statistical Machine Learning based on Bayesian Inference, especially Approximation Inference (Variational Inference, MCMC, Approximate Bayesian Computation and so on). Also, I’m researching on statistical modeling and applying machine learning for Big Data on Marketing, Sports and so on.
Programming Languages: Python, R
Activity: NeurIPS2020 reviewer
Interests
- Statistical Machine Learning
- Bayesian Inference
- Approximation Inference (i.e., Variational Inference)
- Bayesian Deep Learning
- Nonparametric (approximate) Inference
- Metric Learning & Divergence
- Bayesian Optimization
Education
Ph.D. Candidate in Computer Science, Machine Learning, 2020-Present
Sato lab., The University of Tokyo
M.Sci. in Computer Science, Machine Learning, 2020
Sugiyama-Sato-Honda lab., The University of Tokyo
B.Sci. (Culture & Information Science) in Statistics, 2018
Doshisha University