hunch_net hunch_net-2013 hunch_net-2013-482 knowledge-graph by maker-knowledge-mining
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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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same-blog 1 0.99999982 482 hunch net-2013-05-04-COLT and ICML registration
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.
2 0.2389559 394 hunch net-2010-04-24-COLT Treasurer is now Phil Long
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
3 0.2162603 465 hunch net-2012-05-12-ICML accepted papers and early registration
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 has a new ML blog focused on optimization and partial feedback which may interest people.
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Introduction: This is a reminder that many deadlines for summer conference registration are coming up, and attendance is a very good idea. It’s entirely reasonable for anyone to visit a conference once, even when they don’t have a paper. For students, visiting a conference is almost a ‘must’—there is no where else that a broad cross-section of research is on display. Workshops are also a very good idea. ICML has 11 , KDD has 9 , and AAAI has 19 . Workshops provide an opportunity to get a good understanding of some current area of research. They are probably the forum most conducive to starting new lines of research because they are so interactive. Tutorials are a good way to gain some understanding of a long-standing direction of research. They are generally more coherent than workshops. ICML has 7 and AAAI has 15 .
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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: 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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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: Yaroslav collected an extensive list of machine learning reading groups .
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Introduction: Vikas points out the Herman Goldstine Fellowship at IBM . I was a Herman Goldstine Fellow, and benefited from the experience a great deal—that’s where work on learning reductions started. If you can do research independently, it’s recommended. Applications are due January 6.
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Introduction: Maybe it’s too early to call, but with four separate Neural Network sessions at this year’s ICML , it looks like Neural Networks are making a comeback. Here are my highlights of these sessions. In general, my feeling is that these papers both demystify deep learning and show its broader applicability. The first observation I made is that the once disreputable “Neural” nomenclature is being used again in lieu of “deep learning”. Maybe it’s because Adam Coates et al. showed that single layer networks can work surprisingly well. An Analysis of Single-Layer Networks in Unsupervised Feature Learning , Adam Coates , Honglak Lee , Andrew Y. Ng (AISTATS 2011) The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization , Adam Coates , Andrew Y. Ng (ICML 2011) Another surprising result out of Andrew Ng’s group comes from Andrew Saxe et al. who show that certain convolutional pooling architectures can obtain close to state-of-the-art pe
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Introduction: 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.
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