Mark Schmidt

  Mark Schmidt
    Department of Computer Science
    University of British Columbia
    201 2366 Main Mall
    Vancouver BC V6T 1Z4
    Canada
   

Frequently-Answered E-mails (regarding supervision, courses, internships, collaborations, etc.)

Research

  • List of Publications - with links to code, presentations/posters, and appendices.

    Selected recent papers on optimization for machine learning: Selected computer vision applications: Other selected applications: PhD thesis (2010): Graphical Model Structure Learning with L1-Regularization


    Presentations

    Talk slides on selected recent projects: Overview talk slides: Selected recent posters: Recent videos of talks by myself and co-authors:

    Code

  • List of Software Packages

    Some Highlights: A package containing most of the above is available here.

    Teaching and Research Groups

  • 80 Lectures on Machine Learning - material from all my courses in one place.

    UBC Courses:

    Mini-Courses: Tutorials: My Lab:

    UBC Machine Learning Lab

    Current members:

    Alumni:

    UBC Machine Learning Reading Group


    Selected Notes

    List of Notes

    Cauchy's original paper from 1847 on gradient descent is available here.

    I've also been known to swim, spike, and dunk.