Exploring Online Variance Reduction For Stochastic Optimization
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- Lihong Li, Microsoft Research https://simons.berkeley.edu/talks/lihong-li-02-13-2017 Interactive Learning.
- Stabalized SVRG: Simple
- Peter Richtarik (University of Edinburgh) ...
- Authors: Adithya M. Devraj and Jianshu Chen Venue: 33rd Conference on Neural Information Processing Systems, Vancouver, ...
- This is the presentation at AIM LAB.
In-Depth Information on Online Variance Reduction For Stochastic Optimization
Zalán Borsos, Andreas Krause and Kfir Y. Levy Title: MURANA: A Generic Framework for Recorded 03 March 2023. Paul Grigas of the University of California, Berkeley, presents "Offline and Kai's talk explores the optimal and efficient
Presented at IFAC World Congress, 2020. Paper is available at https://arxiv.org/abs/2003.04686.
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