A good workshop is often far more interesting than the papers at a conference. This happens because a workshop has a much tighter focus than a conference. Since you choose the workshops fitting your interest, the increased relevance can greatly enhance the level of your interest and attention. Roughly speaking, a workshop program consists of elements related to a subject of your interest. The main conference program consists of elements related to someone’s interest (which is rarely your own). Workshops are more about doing research while conferences are more about presenting research.
Several conferences have associated workshop programs, some with deadlines due shortly.
Anyone going to these conferences should examine the workshops and see if any are of interest. (If none are, then maybe you should organize one next year.)
Yaroslav collected an extensive list of machine learning reading groups.
||Pittsburgh, PA, USA
||July 30 – August 5
||Chicago, IL, USA
The big winner this year is Europe. This is partly a coincidence, and partly due to the general internationalization of science over the last few years. With cuts to basic science in the US and increased hassle for visitors, conferences outside the US become more attractive. Europe and Australia/New Zealand are the immediate winners because they have the science, infrastructure, and english in place. China and India are possible future winners.
It’s conference season, and smell of budding papers is in the air.
IJCAI 2005, January 21
COLT 2005, February 2
KDD 2005, February 18
ICML 2005, March 8
UAI 2005, March 16
AAAI 2005, March 18
There are several summer schools related to machine learning.
We are running a two week machine learning summer school in Chicago, USA May 16-27.
IPAM is running a more focused three week summer school on Intelligent Extraction of Information from Graphs and High Dimensional Data in Los Angeles, USA July 11-29.
A broad one-week school on analysis of patterns will be held in Erice, Italy, Oct. 28-Nov 6.