Our paper “A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning” got accepted to ICML! http://proceedings.mlr.press/v80/mishchenko18a.html
I’m a PhD student under the supervision of 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 studied distributed optimization 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 physics. My bachelor’s thesis, however, was devoted to statistical learning theory.
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
Our paper “A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning” got accepted to ICML! http://proceedings.mlr.press/v80/mishchenko18a.html
I had a couple of visits to work on distributed optimization.
I came back after the hackathon organized by the Vatican. Inside a few pictures and my impression.
This March I’m going to the Vatican to participate in a 3 days hackathon.