Prominent Machine Learning Scholar Professor Masashi Sugiyama Delivers Distinguished Lecture

Professor Masashi Sugiyama from RIKEN and The University of Tokyo, Japan delivered an online Distinguished Lecture on “Challenges in Machine Learning Research” on 18 February 2022. The lecture was organised in celebration of the 60th anniversary of the Faculty of Science, HKBU. In the lecture, Professor Sugiyama discussed the theories and algorithms of reliable machine learning for coping with problems such as data bias and insufficient and inaccurate information. The participants found the lecture inspiring and were eager to interact with Professor Sugiyama.

Professor Sugiyama received a Ph.D. degree in Computer Science from Tokyo Institute of Technology, Japan, in 2001. After experiencing assistant and associate professors at the same institute, he became a professor at the University of Tokyo in 2014. Since 2016, he has concurrently served as Director of RIKEN Center for Advanced Intelligence Project, leading the groups of fundamental AI technologies, AI applications, and social issues of AI. His research interests include theories and algorithms of machine learning and statistical data analysis. He (co)-authored various machine learning monographs, including Machine Learning in Non-Stationary Environments (MIT Press, 2012), Density Ratio Estimation in Machine Learning (Cambridge University Press, 2012), Statistical Reinforcement Learning (Chapman and Hall, 2015), Introduction to Statistical Machine Learning (Morgan Kaufmann, 2015), Variational Bayesian Learning Theory (Cambridge University Press, 2019), and Machine Learning from Weak Supervision (MIT Press, in press). He served as a Program Chair and General Chair for NeurIPS2015 and NeurIPS2016 and a Program Chair for AISTATS2019. He was a recipient of the Japan Academy Medal in 2017.

Click here to view the video of the Distinguished Lecture.