- Series
- High-Dimensional Phenomena in Statistics and Machine Learning Seminar
- Time
- Tuesday, October 23, 2012 - 3:05pm for 1.5 hours (actually 80 minutes)
- Location
- Skyles 005
- Speaker
- Krishnakumar Balasubramanian – Georgia Institute of Technology
- Organizer
- Karim Lounici
I will be presenting the paper by S. Mendelson titled 'Rademacher Averages
and Phase Transitions in Glivenko–Cantelli Classes'. Fat-shattering
dimension and its use in characterizing GC classes will be introduced. Then
a new quantity based on the growth rate of the Rademacher averages will be
introduced. This parameter enables one to provide improved complexity
estimates for the agnostic learning problem with respect to any norm. A
phase transition phenomenon that appears in the sample complexity
estimates, covering numbers estimates, and in the growth rate of the
Rademacher averages will be discussed. Further (i) estimates on the
covering numbers of a class when considered as a subset of spaces and (ii)
estimate the fat-shattering dimension of the convex hull of a given class
will be discussed.