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Ohio State University logo STAT 881 Advanced Statistical Learning Home

Announcements

  1. [Jun 3] Solutions for homework 4 have been posted.
  2. [May 22] Solutions for homework 3 have been posted.
  3. [May 20] The fourth assignment has been posted.
  4. [May 3] Solutions for homework 2 are available on the homework page.
  5. [Apr 30] The third assignment has been posted.
  6. [Apr 16] Solutions for homework 1 are available on the homework page.
  7. [Apr 14] The second homework has been posted.
  8. [Mar 30] The first homework has been posted.
  9. [Mar 24] Welcome to STAT 881! Please visit this web site regularly.

Course information

  1. Description:

    Statistics 881 aims to provide an introduction to statistical learning theory. It will focus on formulation of prediction problems, in particular, classification in a probabilistic framework and how to estimate and analyze the performance of statistical and computational learning methods. Concepts and techniques for the theoretical analysis of such methods will be developed. Topics include notion of consistency, concentration inequalities, uniform convergence, empirical risk minimization, convex optimization, and general treatment of kernel methods and boosting among others.

  2. Lecture: MW 9:00 -10:18AM in Scott Laboratory (SO) 241.
  3. Text: No textbook is required for this course.
    References :
    A Probabilistic Theory of Pattern Recognition by Devroye, Gyorfi, and Lugosi.
    Statistical Learning Theory by Vapnik.
    The books are on reserve in Science Engineering Library (SEL).
    The followings are survey papers on statistical learning theory:
    Learning Pattern Classification - A Survey, S.R. Kulkarni, G. Lugosi, S.S. Venkatesh, IEEE Transactions on Information Theory, Vo. 44, No. 6, pp. 2178-2206, Oct. 1998.
    Introduction to statistical learning theory, O. Bousquet, S. Boucheron, and G. Lugosi, in O. Bousquet, U.v. Luxburg, and G. Rätsch (editors), Advanced Lectures in Machine Learning, Springer, pp. 169--207, 2004.
  4. Instructor:
    Yoonkyung Lee
    Office: 440B Cockins Hall
    Phone: 292-9495
    Office Hours: M 3:30 - 4:18PM, W 10:30 - 11:18AM or by appointment
    Email: yklee at stat domain [when e-mailing, replace 'at stat domain' by @stat.osu.edu]

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