Orals and spotlights
in
Workshop: OPT 2021: Optimization for Machine Learning

Contributed talks in Session 3 (Zoom)

Oliver Hinder · Wenhao Zhan · Akhilesh Soni · Grigory Malinovsky · Boyue Li

Abstract:

Oral (10 min)

  • Policy Mirror Descent for Regularized RL: A Generalized Framework with Linear Convergence, Wenhao Zhan

Spotlights (5 min)

  • Integer Programming Approaches To Subspace Clustering With Missing Data, Akhilesh Soni
  • DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization, Boyue Li
  • Better Linear Rates for SGD with Data Shuffling, Grigory Malinovsky

There will be a Q&A in the last 5 minutes for all speakers. Abstracts for the talks are below the schedule.