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Alexander Tyurin, Ph.D.

Postdoctoral Fellow,

KAUST
alexander.tyurin(at)kaust.edu.sa
alexandertiurin(at)gmail.com

Hi! I am a postdoctoral fellow at KAUST, Visual Computing Center, where I work on modern optimization tasks with Professor Peter Richtárik. Previously, I defended my Ph.D. thesis at Higher School of Economics with my former supervisor, Professor Alexander Gasnikov.

I also worked at Yandex Self-Driving Cars, Perception team, where I developed real-time computer vision algorithms for self-driving cars.

Education

Ph.D. in Computer Science
Higher School of Economics, Faculty of Computer Science
2017 - 2020
Masters of Computer Science
Higher School of Economics, Faculty of Computer Science
2015 - 2017
Bachelor of Computer Science
Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics
2011 - 2015

Work experience

Postdoctoral fellow
KAUST, Visual Computing Center
2021 - present
Research and development engineer
Yandex Self-Driving Cars
2018 - 2021
Junior research fellow
Higher School of Economics, HDI LAB
2017 - 2021
Research engineer
Alterra.ai
2018
Research engineer
VisionLabs
2015 - 2018

Publications

[1] Dvurechensky P., Gasnikov A., Omelchenko A., Tyurin A. A stable alternative to Sinkhorn’s algorithm for regularized optimal transport // Lecture Notes in Computer Science. 2020. V. 12095. P. 406-423.
[2] Dvinskikh D., Omelchenko A., Gasnikov A., Tyurin A. Accelerated gradient sliding for minimizing the sum of functions // Doklady Mathematics. 2020. V. 101. N. 3. P. 244-246.
[3] Tyurin A. Primal-dual fast gradient method with a model // Computer Research and Modeling. 2020. V. 12, N. 2. P. 263-274. (in russian)
[4] Gasnikov A., Tyurin A. Fast gradient descent for convex minimization problems with an oracle producing a (delta, L)-model of function at the requested point // Computational Mathematics and Mathematical Physics. 2019. V. 59. N. 7. P. 1085-1097. (main co-author; alphabetical order).
[5] Stonyakin F., Dvinskikh D., Dvurechensky P., Kroshnin A., Kuznetsova O., Agafonov A., Gasnikov A., Tyurin A., Uribe C., Pasechnyuk D., Artamonov S. Gradient methods for problems with inexact model of the objective // Lecture Notes in Computer Science. 2019. V. 11548. P. 97-114.
[6] Ogaltsov A., Tyurin A. A heuristic adaptive fast gradient method in stochastic optimization problems // Computational Mathematics and Mathematical Physics. 2019. V. 60. N. 7. P. 1108-1115 (main co-author, alphabetical order).
[7] Anikin A., Gasnikov A., Dvurechensky P., Tyurin A., Chernov A. Dual approaches to the minimization of strongly convex functionals with a simple structure under affine constraints // Computational Mathematics and Mathematical Physics. 2017. V. 57. N. 8. P. 1262-1276.