Contributed talks in Session 3 (Zoom)
Oliver Hinder ⋅ Wenhao Zhan ⋅ Akhilesh Soni ⋅ Grigory Malinovsky ⋅ Boyue Li
2021 Orals and spotlights
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Workshop: OPT 2021: Optimization for Machine Learning
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Workshop: OPT 2021: Optimization for Machine Learning
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.
Video
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