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Beyond convexity: Stochastic quasi-convex optimization
Elad Hazan
, Kfir Y. Levy
,
Shai Shalev-Shwartz
The Rachel and Selim Benin School of Engineering and Computer Science
Research output
:
Contribution to journal
›
Conference article
›
peer-review
102
Scopus citations
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Dive into the research topics of 'Beyond convexity: Stochastic quasi-convex optimization'. Together they form a unique fingerprint.
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Keyphrases
Convexity
100%
Gradient Descent
100%
Normalized Gradient Descent
100%
Quasi-convex Optimization
100%
Gradient Method
66%
Small Region
33%
Vanilla
33%
Machine Learning
33%
Adaptation
33%
Global Minimum
33%
Class Function
33%
Lipschitz
33%
Convex Function
33%
Stochastic Gradient Descent
33%
Stochastic Gradient Algorithm
33%
Stochastic Version
33%
Locally Lipschitz Function
33%
Unimodality
33%
Lipschitz Function
33%
Stochastic Convex Optimization
33%
Gradient Explosion
33%
Locally Lipschitz
33%
Quasi-convex
33%
Multi-dimension
33%
Quasiconvexity
33%
First-order Optimization Method
33%
Mathematics
Stochastics
100%
Wide Class
16%
Convex Function
16%
Saddle Point
16%
Lipschitz Function
16%
locally lipschitz function φ
16%
Unimodality
16%