From NIPS 2010: Optimization Algorithms in Machine Learning

http://videolectures.net/nips2010_wright_oaml/

Prof. Stephen J. Wright conducted an excellent tutorial in NIPS 2010.  This tutorial peeks into several important aspects of algorithms that are useful to practical and large-scale optimization problems in machine learning. Besides high-level overview of each aspect, the talk provides pointers to key references. Topics covered are:

  • First-order Methods
  • Stochastic and Incremental Gradient Methods
  • Shrinking/Thresholding for Regularized Formulations
  • Optimal Manifolds Identification and High-Order Methods
  • Decomposition and Coordinate Relaxation

Also some tutorials/talks of interest from the long-term program “Modern Trends in Optimization and Its Application" (Sep – Dec 2010) in UCLA (provided the slides are released).

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2 thoughts on “From NIPS 2010: Optimization Algorithms in Machine Learning

  1. Bowen says:

    老大,你能不能别那么学术,顺应时代,搞点八卦花边什么的。

  2. idmsj says:

    死周扒皮,跑到这么三俗的地方来反三俗

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