I’m on the job market.
I’m a PhD candidate supervised by Peter Richtárik, working on Optimization and its applications to Machine Learning. Prior to this, I was a research intern at Université Grenoble Alpes, where I worked with F. Iutzeler and J. Malick. This internship allowed me to obtain my double degree MSc diploma from École Normale Supérieure Paris-Saclay and Paris-Dauphine. I obtained my BSc from Moscow Institute of Physics and Technology, where I was having a lot of fun with quantum mechanics and various branches of classical and modern physics.
My hobbies include squash, bouldering and competitive programming.
PhD in Computer Science
KAUST
MSc in Data Science, 2017
École normale supérieure Paris-Saclay and Paris-Dauphine
BSc in Computer Science and Physics, 2016
Moscow Institute of Physics and Technology
We have submitted 5 papers to 4 different workshops hosted by NeurIPS and all of them were accepted, including one work for oral presentation. The list of papers:
Stochastic Newton and Cubic Newton Methods with Simple Local Linear-Quadratic Rates (oral, with D. Kovalev and P. Richtárik)
Sinkhorn Algorithm as a Special Case of Stochastic Mirror Descent …