AMS Sectional Meeting Program by Special Session

Current as of Tuesday, April 12, 2005 15:21:44

Associate secretaries:
Michel L Lapidus, AMS lapidus@math.ucr.edu, lapidus@mathserv.ucr.edu

Saturday October 16, 2004, 8:00 a.m.-10:40 a.m.
Special Session on Probabilistic and Geometric Methods in Learning Theory, I
Room 228, Dane Smith Hall
Organizers:
Vladimir Koltchinskii, University of New Mexico vlad@math.unm.edu
- 8:00 a.m.
  An empirical central limit theorem for pre-Gaussian classes of functions.
  Shahar Mendelson, Australian National University
  Joel Zinn*, TX
  (1000-60-114)
- 9:00 a.m.
  Vapnik-Chervonenkis combinatorics of real-valued classes of functions: entropy and empirical processes.
  Roman Vershynin*, University of California, Davis
  (1000-60-82)
- 10:00 a.m.
  Free energy in the generalized Sherrington-Kirkpatrick model.
  Dmitry Panchenko*, Massachusetts Institute of Technology
  (1000-60-57)

Saturday October 16, 2004, 3:00 p.m.-5:40 p.m.
Special Session on Probabilistic and Geometric Methods in Learning Theory, II
Room 228, Dane Smith Hall
Organizers:
Vladimir Koltchinskii, University of New Mexico vlad@math.unm.edu
- 3:00 p.m.
  Local Rademacher averages and empirical minimization.
  Peter L Bartlett*, University of California at Berkeley
  (1000-60-141)
- 4:00 p.m.
  Fast Rates to Bayes for Support Vector Machines.
  Ingo Steinwart*, Los Alamos National Laboratory
  (1000-60-203)
- 5:00 p.m.
  Anomaly Detection is Classification.
  Clint Scovel*, Modeling, Algorithmics, and Informatics Group, CCS-3, Los Alamos National Laboratory
  (1000-60-202)

Inquiries: meet@ams.org