hunch_net hunch_net-2007 hunch_net-2007-242 knowledge-graph by maker-knowledge-mining
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Introduction: Registration for COLT 2007 is now open. The conference will take place on 13-15 June, 2007, in San Diego, California, as part of the 2007 Federated Computing Research Conference (FCRC), which includes STOC, Complexity, and EC. The website for COLT: http://www.learningtheory.org/colt2007/index.html The early registration deadline is May 11, and the cutoff date for discounted hotel rates is May 9. Before registering, take note that the fees are substantially lower for members of ACM and/or SIGACT than for nonmembers. If you’ve been contemplating joining either of these two societies (annual dues: $99 for ACM, $18 for SIGACT), now would be a good time!
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Introduction: Registration for COLT 2007 is now open. The conference will take place on 13-15 June, 2007, in San Diego, California, as part of the 2007 Federated Computing Research Conference (FCRC), which includes STOC, Complexity, and EC. The website for COLT: http://www.learningtheory.org/colt2007/index.html The early registration deadline is May 11, and the cutoff date for discounted hotel rates is May 9. Before registering, take note that the fees are substantially lower for members of ACM and/or SIGACT than for nonmembers. If you’ve been contemplating joining either of these two societies (annual dues: $99 for ACM, $18 for SIGACT), now would be a good time!
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Introduction: The accepted papers are up in full detail. We are still struggling with the precise program itself, but that’s coming along. Also note the May 13 deadline for early registration and room booking.
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Introduction: Sebastien Bubeck points out COLT registration with a May 13 early registration deadline. The local organizers have done an admirable job of containing costs with a $300 registration fee. ICML registration is also available, at about an x3 higher cost. My understanding is that this is partly due to the costs of a larger conference being harder to contain, partly due to ICML lasting twice as long with tutorials and workshops, and partly because the conference organizers were a bit over-conservative in various ways.
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Introduction: It’s conference season once again. Conference Due? When? Where? double blind? author feedback? Workshops? AAAI February 1/6 (and 27) July 22-26 Vancouver, British Columbia Yes Yes Done UAI February 28/March 2 July 19-22 Vancouver, British Columbia No No No COLT January 16 June 13-15 San Diego, California (with FCRC ) No No No ICML February 7/9 June 20-24 Corvallis, Oregon Yes Yes February 16 KDD February 23/28 August 12-15 San Jose, California Yes No? February 28 The geowinner this year is the west coast of North America. Last year ‘s geowinner was the Northeastern US, and the year before it was mostly Europe. It’s notable how tightly the conferences cluster, even when they don’t colocate.
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Introduction: Registration for COLT 2007 is now open. The conference will take place on 13-15 June, 2007, in San Diego, California, as part of the 2007 Federated Computing Research Conference (FCRC), which includes STOC, Complexity, and EC. The website for COLT: http://www.learningtheory.org/colt2007/index.html The early registration deadline is May 11, and the cutoff date for discounted hotel rates is May 9. Before registering, take note that the fees are substantially lower for members of ACM and/or SIGACT than for nonmembers. If you’ve been contemplating joining either of these two societies (annual dues: $99 for ACM, $18 for SIGACT), now would be a good time!
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Introduction: For about 5 years, I’ve been the treasurer of the Association for Computational Learning, otherwise known as COLT, taking over from John Case before me. A transfer of duties to Phil Long is now about complete. This probably matters to almost no one, but I wanted to describe things a bit for those interested. The immediate impetus for this decision was unhappiness over reviewing decisions at COLT 2009 , one as an author and several as a member of the program committee. I seem to have disagreements fairly often about what is important work, partly because I’m focused on learning theory with practical implications, partly because I define learning theory more broadly than is typical amongst COLT members, and partly because COLT suffers a bit from insider-clique issues. The degree to which these issues come up varies substantially each year so last year is not predictive of this one. And, it’s important to understand that COLT remains healthy with these issues not nearly so bad
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