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.