NeurIPS workshops: 5 accepted papers

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:

  1. Stochastic Newton and Cubic Newton Methods with Simple Local Linear-Quadratic Rates (oral, with D. Kovalev and P. Richtárik)

  2. Sinkhorn Algorithm as a Special Case of Stochastic Mirror Descent (single-author work)

  3. Better Communication Complexity for Local SGD (with A. Khaled and P. Richtárik)

  4. First Analysis of Local GD on Heterogeneous Data (with A. Khaled and P. Richtárik)

  5. Revisiting Stochastic Extragradient (with D. Kovalev and P. Richtárik)

Konstantin Mishchenko
Konstantin Mishchenko
Postdoctoral Researcher

I study optimization and its applications in machine learning.