I love that by providing everything I need, KAUST allows me to focus on what matters: research.
Dmitry obtained a B.S. degree from Moscow Institute of Physics and Technology, Moscow, Russia, in 2018. He is an M.S. in the Computer Science program at the King Abdullah University of Science and Technology as of Fall 2018.
- Dmitry Kovalev, Samuel Horvath and Peter Richtárik. Don't Jump Through Hoops and Remove Those Loops: SVRG and Katyusha are Better Without the Outer Loop, arXiv preprint arXiv:1901.08689, 2019.
- Dmitry Kovalev, Peter Richtárik, Eduard Gorbunov, Elnur Gasanov. Stochastic Spectral and Conjugate Descent Methods. Advances in Neural Information Processing Systems, pages 3362-3371, 2018.
- A.V. Gasnikov and D.A. Kovalev. A hypothesis about the rate of global convergence for optimal methods (Newton's type) in smooth convex optimization. Computer Research and Modeling 10(3):305-314, 2018.