Vien Van Mai
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PhD student, |
About me
I am a Ph.D. student in the Division of Decision and Control Systems, School of Electrical Engineering and Computer Science at KTH, working under the supervision of Prof. Mikael Johansson. I received a BE degree from Posts and Telecommunications Institute of Technology, Viet Nam, in 2013; and an MS degree from Kyung Hee University, South Korea, in 2016. Previously, I worked on wireless communications and networking.
I study theory and practice of optimization algorithms with an emphasis on large-scale problems that arise in machine learning and signal processing. I am particularly interested in work at the intersections of continuous optimization with related fields such as numerical linear algebra, statistics, stochastic approximation, and control. Some of the topics I have been working on include:
First-Order and Stochastic Optimization Methods
Structured Non-Smooth Non-Convex Optimization
Parallel and Distributed Computations
Applications of Optimization Methods in Machine Learning, Signal Processing and Control
Computational Optimal Transport
News
December 2020 & February 2021: I attended two great workshops on Intermediate Topics in MPI and CMake both organized by the EuroCC National EuroHPC Competence Center Sweden (ENCCS).
July 2020: I attended the (virtual) 37th International Conference on Machine Learning (ICML), where I presented our two recent papers on Anderson acceleration and stochastic gradient descent with momentum.
November 2019: I presented and defended my Licentiate thesis entitled Large-Scale Optimization With Machine Learning Applications. I would like to thank Prof. Alexandre d'Aspremont for acting as the special reviewer and for his valuable feedback.
August 2019: I attended the 6th International Conference on Continuous Optimization (ICCOPT), in Berlin, Germany. At the conference, I gave a talk entitled “Anderson acceleration of proximal gradient methods”.
June 2019: I attended the 36th International Conference on Machine Learning (ICML), in Long Beach, California, United States. At the conference, I presented a paper entitled “Curvature-Exploiting Acceleration of Elastic Net Computations”.
May 2019: I attended the 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), in Brighton, United Kingdom. At the conference, I presented a paper entitled “Nonlinear Acceleration of Constrained Optimization Algorithms”.
July 2018: I attended the 35th International Conference on Machine Learning (ICML), in Stockholm, Sweden.
July 2018: I attended the triennial international congress of mathematical optimization (ISMP), in Bordeaux, France. At the conference, I gave a talk entitled “Fast convex optimization for eigenproblems and beyond”.