I’m a PhD candidate supervised by Peter Richtárik, working on optimization theory and its applications in Machine Learning. In 2020, I interned at Google Brain hosted by Nicolas Le Roux and Courtney Paquette. I plan to graduate in 2020 and join the INRIA Sierra lab as a postdoc with Alexandre d’Aspremont and Francis Bach. I obtained my double degree MSc diploma from École Normale Supérieure Paris-Saclay and Paris-Dauphine, and a BSc from Moscow Institute of Physics and Technology.
My hobbies include squash, bouldering and competitive programming.
PhD in Computer Science, 2020
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
Reflecting on 2020, I realized I spent a lot of time reviewing. I reviewed 34 conference papers, 3 journal papers and 4 workshop papers. To my surprise, Lihua Lei reviewed 48 papers, 20 of which were for journals and probably took extra time due to revisions.
Reviewing is an important part of doing a PhD and it actually helps when writing papers. However, …
Peter Richtárik, Filip Hanzely and I are organizing a session on Optimization for Deep Learning at the SIAM Conference on Mathematics of Datascience (MDS20). See the link below for more info: https://www.siam.org/conferences/cm/conference/mds20
Our presenters are:
Simon Shaolei Du from the Institute for Advanced Study of Princeton ( …