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Convex Optimization for Large-Scale Machine Learning

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    • Category : Engineering > Computer Science
    • Keyword : bigdata,machine learning,largescale problems,AI,Convex
    • Taught by : Sangkyun Lee
    • Created By : Hanyang University
    • Offered By : KOCW
    • Date Added : 2019.10.08

    Recent optimization techniques for large-scale problems appearning in machine learning Algorithmic and some theoretical perspectives of the methods

    Creative Commons License
    This work is licensed under a
    Creative Commons
    Attribution-NonCommercial-NoDerivs 4.0
    International License    .
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Number of lessons: 12 facebook twitter line whatsapp kakaotalk

차시별 강의
No Contents Type & Play Subject Description URL
1. Type weblink Subject Description
  • Basic first-order methods
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  • Background in Machine Learning
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  • Gradient descent/Subgradient/ Convex
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  • Gradient vs. Subgradient
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  • Stochastic gradient descent
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  • Supprot Vector Machines
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  • Proximal Gradient Method
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  • Proximal Gradient Method
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  • Acceleration
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  • Alternating direction method of multipliers
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  • Dual Problem
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  • Optimality/ Duality
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