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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

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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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2. Type weblink Subject Description
  • Background in Machine Learning
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3. Type weblink Subject Description
  • Gradient descent/Subgradient/ Convex
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4. Type weblink Subject Description
  • Gradient vs. Subgradient
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5. Type weblink Subject Description
  • Stochastic gradient descent
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6. Type weblink Subject Description
  • Supprot Vector Machines
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7. Type weblink Subject Description
  • Proximal Gradient Method
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8. Type weblink Subject Description
  • Proximal Gradient Method
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9. Type weblink Subject Description
  • Acceleration
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10. Type weblink Subject Description
  • Alternating direction method of multipliers
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11. Type weblink Subject Description
  • Dual Problem
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12. Type weblink Subject Description
  • Optimality/ Duality
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