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Publishes 2 feeds

• "Introduction to Optimization" lectures, Michael Zibulevsky

  10 posts · theirs

• Deep Learning on Graphs and Manifolds, Michael Bronstein

  5 posts · theirs

Lately

• Zoom Lecture 3, Convex sets and functions, 12 04 2021

  "Introduction to Optimization" lectures, Michael Zibulevsky · 2021-04-12

• Deep Learning on Graphs and Manifolds 7 20161201 104813

  Deep Learning on Graphs and Manifolds, Michael Bronstein · 2017-12-04

• Deep Learning on Graphs and Manifolds 3 20161201 103736

  Deep Learning on Graphs and Manifolds, Michael Bronstein · 2017-12-04

• Deep Learning on Graphs and Manifolds 2 20161201 102942

  Deep Learning on Graphs and Manifolds, Michael Bronstein · 2017-12-04

• Deep Learning on Graphs and Manifolds 1 20161201 101518

  Deep Learning on Graphs and Manifolds, Michael Bronstein · 2017-12-04

• Deep Learning on Graphs and Manifolds 9 20161201 122346

  Deep Learning on Graphs and Manifolds, Michael Bronstein · 2017-12-04

• Boosting stochastic optimization with SESOP

  "Introduction to Optimization" lectures, Michael Zibulevsky · 2016-08-30

• Accelerating SESOP: Preconditioning, Coordinate Descent, Majorization-Minimization

  "Introduction to Optimization" lectures, Michael Zibulevsky · 2016-08-25

• Preconditioning: Gradient Descent, Conjugate Gradients and SESOP

  "Introduction to Optimization" lectures, Michael Zibulevsky · 2016-08-23

• SESOP - Sequential Subspace Optimization. Part 2: Convergence properties

  "Introduction to Optimization" lectures, Michael Zibulevsky · 2016-08-18

• SESOP - Sequential Subspace Optimization. Part 1: Description of the method

  "Introduction to Optimization" lectures, Michael Zibulevsky · 2016-08-17

• Conjugate gradients 4: Derivation of CG method

  "Introduction to Optimization" lectures, Michael Zibulevsky · 2016-08-12

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