Konstantin Mishchenko
Konstantin Mishchenko
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SEGA: Variance Reduction via Gradient Sketching
We propose a randomized first order optimization method–SEGA (SkEtched GrAdient method)– which progressively throughout its …
Filip Hanzely
,
Konstantin Mishchenko
,
Peter Richtárik
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arXiv
NIPS
A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning
Distributed learning aims at computing high-quality models by training over scattered data. This covers a diversity of scenarios, …
Konstantin Mishchenko
,
Franck Iutzeler
,
Jérôme Malick
,
Massih-Reza Amini
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ICML
A Distributed Flexible Delay-tolerant Proximal Gradient Algorithm
We develop and analyze an asynchronous algorithm for distributed convex optimization when the objective writes a sum of smooth …
Konstantin Mishchenko
,
Franck Iutzeler
,
Jérôme Malick
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arXiv
SIAM
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