Announcements – Page 8 – Machine Learning (Theory)

12/29/2012

Simons Institute Big Data Program

The new Simons Institute for the Theory of Computing
will begin organizing semester-long programs starting in 2013.

One of our first programs, set for Fall 2013, will be on the “Theoretical Foundations
of Big Data Analysis”. The organizers of this program are Michael Jordan (chair),
Stephen Boyd, Peter Buehlmann, Ravi Kannan, Michael Mahoney, and Muthu Muthukrishnan.

See http://simons.berkeley.edu/program_bigdata2013.html for more information on
the program.

The Simons Institute has created a number of “Research Fellowships” for young
researchers (within at most six years of the award of their PhD) who wish to
participate in Institute programs, including the Big Data program. Individuals
who already hold postdoctoral positions or who are junior faculty are welcome
to apply, as are finishing PhDs.

Please note that the application deadline is January 15, 2013. Further details
are available at http://simons.berkeley.edu/fellows.html .

Mike Jordan

10/18/2012

7th Annual Machine Learning Symposium

A reminder that the New York Academy of Sciences will be hosting the 7th Annual Machine Learning Symposium tomorrow from 9:30am.

The main program will feature invited talks from Peter Bartlett, William Freeman, and Vladimir Vapnik, along with numerous spotlight talks and a poster session. Following the main program, hackNY and Microsoft Research are sponsoring a networking hour with talks from machine learning practitioners at NYC startups (specifically bit.ly, Buzzfeed, Chartbeat, and Sense Networks, Visual Revenue). This should be of great interest to everyone considering working in machine learning.

8/27/20129/1/2012

NYAS ML 2012 and ICML 2013

The New York Machine Learning Symposium is October 19 with a 2 page abstract deadline due September 13 via email with subject “Machine Learning Poster Submission” sent to physicalscience@nyas.org. Everyone is welcome to submit. Last year’s attendance was 246 and I expect more this year.

The primary experiment for ICML 2013 is multiple paper submission deadlines with rolling review cycles. The key dates are October 1, December 15, and February 15. This is an attempt to shift ICML further towards a journal style review process and reduce peak load. The “not for proceedings” experiment from this year’s ICML is not continuing.

Edit: Fixed second ICML deadline.

7/17/20127/17/2012

MUCMD and BayLearn

The workshop on the Meaningful Use of Complex Medical Data is happening again, August 9-12 in LA, near UAI on Catalina Island August 15-17. I enjoyed my visit last year, and expect this year to be interesting also.

The first Bay Area Machine Learning Symposium is August 30 at Google. Abstracts are due July 30.

7/9/2012

Videolectures

Yaser points out some nicely videotaped machine learning lectures at Caltech. Yaser taught me machine learning, and I always found the lectures clear and interesting, so I expect many people can benefit from watching. Relative to Andrew Ng‘s ML class there are somewhat different areas of emphasis but the topic is the same, so picking and choosing the union may be helpful.