Trường về công nghệ thông tin tại canada

1. https://www.mcgill.ca/study/2018-2019/faculties/science/graduate/gps_sci_computer_science

Tham khảo về chương trình phd computer science của trường.

Một giảng viên của trường tham gia review tại NeurIPS 2019:

1. Vincent François: McGill University and Mila, chủ đề: reinforcement learning deep learning machine learning artificial intelligence; Các khoá dạy: http://vincent.francois-l.be/

an introduction to deep RL in the context of the deep learning summer school organized by IVADO.
a lecture on generalization in RL at the RL summer school in Lille.
a few lessons as part of the courses IFT6390 - introduction to machine learning at the Université de Montreal as well as COMP-424 - Artificial intelligence and COMP652 - advanced machine learning at McGill University.

2. Jie Fu (姐夫): Postdoctoral Fellow, Mila, Polytechnique Montreal, University of Montreal.

3. Angus Galloway: Mechatronics Engineer - toronto, Canada Area - https://angusg.com/

Technical Co-Founder of a speech telephony modeling company with the inaugural NextAI cohort. Selected as one of top 6/20 teams to pitch at NEXT Canada 2017 Prototype Day.

4. Gauthier Gidel: Ph.D. Candidate - Université de Montréal - DIRO - Mila. I am a Ph.D candidate supervised by Simon Lacoste-Julien, I graduated from ENS Ulm and Université Paris-Saclay. I was a visiting PhD student at Sierra. I also worked for 6 months as a freelance Data Scientist for Monsieur Drive (Acquired by Criteo) and I recently co-founded a startup called Krypto. I'm currently pursuing my PhD at Mila. My work focuses on optimization applied to machine learning. More details can be found in my resume (early 2018).

Research interests: My research is to develop new optimization algorithms and understand the role of optimization in the learning procedure, in short, learn faster and better. I identify to the field of machine learning (NIPS, ICML, AISTATS and ICLR) and optimization (SIAM OP).

5. Radford Neal: Radford M. Neal is a professor at the Department of Statistics and Department of Computer Science at the University of Toronto, where he holds a research chair in statistics and machine learning. He studied computer science at the University of Calgary and at the University of Toronto. h-index: 44.

6. Sharan Vaswani - Postdoctoral Researcher, Montreal Institute for Learning Algorithms - https://vaswanis.github.io/