hunch_net hunch_net-2008 hunch_net-2008-326 knowledge-graph by maker-knowledge-mining
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Introduction: Adam Klivans , points out the COLT call for papers . The important points are: Due Feb 13. Montreal, June 18-21. This year, there is author feedback.
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same-blog 1 0.99999994 326 hunch net-2008-11-11-COLT CFP
Introduction: Adam Klivans , points out the COLT call for papers . The important points are: Due Feb 13. Montreal, June 18-21. This year, there is author feedback.
2 0.37249291 331 hunch net-2008-12-12-Summer Conferences
Introduction: Here’s a handy table for the summer conferences. Conference Deadline Reviewer Targeting Double Blind Author Feedback Location Date ICML ( wrong ICML ) January 26 Yes Yes Yes Montreal, Canada June 14-17 COLT February 13 No No Yes Montreal June 19-21 UAI March 13 No Yes No Montreal June 19-21 KDD February 2/6 No No No Paris, France June 28-July 1 Reviewer targeting is new this year. The idea is that many poor decisions happen because the papers go to reviewers who are unqualified, and the hope is that allowing authors to point out who is qualified results in better decisions. In my experience, this is a reasonable idea to test. Both UAI and COLT are experimenting this year as well with double blind and author feedback, respectively. Of the two, I believe author feedback is more important, as I’ve seen it make a difference. However, I still consider double blind reviewing a net wi
3 0.22838546 47 hunch net-2005-03-28-Open Problems for Colt
Introduction: Adam Klivans and Rocco Servedio are looking for open (learning theory) problems for COLT . This is a good idea in the same way that the KDDcup challenge is a good idea: crisp problem definitions that anyone can attack yield solutions that advance science.
4 0.22253047 283 hunch net-2008-01-07-2008 Summer Machine Learning Conference Schedule
Introduction: Conference Paper due date Conference Date Location AAAI January 22/23/25/30 July 13-17 Chicago, Illinois ICML Feb 8 July 5-9 Helsinki, Finland COLT Feb 20 July 9-12 Helsinki, Finland KDD Feb 23/29 August 24-27 Las Vegas, Nevada UAI Feb 27/Feb 29 July 9-12 Helsinki, Finland Helsinki is a fun place to visit.
5 0.15730333 452 hunch net-2012-01-04-Why ICML? and the summer conferences
Introduction: Here’s a quick reference for summer ML-related conferences sorted by due date: Conference Due date Location Reviewing KDD Feb 10 August 12-16, Beijing, China Single Blind COLT Feb 14 June 25-June 27, Edinburgh, Scotland Single Blind? (historically) ICML Feb 24 June 26-July 1, Edinburgh, Scotland Double Blind, author response, zero SPOF UAI March 30 August 15-17, Catalina Islands, California Double Blind, author response Geographically, this is greatly dispersed and the UAI/KDD conflict is unfortunate. Machine Learning conferences are triannual now, between NIPS , AIStat , and ICML . This has not always been the case: the academic default is annual summer conferences, then NIPS started with a December conference, and now AIStat has grown into an April conference. However, the first claim is not quite correct. NIPS and AIStat have few competing venues while ICML implicitly competes with many other conf
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20 0.075775743 318 hunch net-2008-09-26-The SODA Program Committee
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same-blog 1 0.98696834 326 hunch net-2008-11-11-COLT CFP
Introduction: Adam Klivans , points out the COLT call for papers . The important points are: Due Feb 13. Montreal, June 18-21. This year, there is author feedback.
2 0.62945461 331 hunch net-2008-12-12-Summer Conferences
Introduction: Here’s a handy table for the summer conferences. Conference Deadline Reviewer Targeting Double Blind Author Feedback Location Date ICML ( wrong ICML ) January 26 Yes Yes Yes Montreal, Canada June 14-17 COLT February 13 No No Yes Montreal June 19-21 UAI March 13 No Yes No Montreal June 19-21 KDD February 2/6 No No No Paris, France June 28-July 1 Reviewer targeting is new this year. The idea is that many poor decisions happen because the papers go to reviewers who are unqualified, and the hope is that allowing authors to point out who is qualified results in better decisions. In my experience, this is a reasonable idea to test. Both UAI and COLT are experimenting this year as well with double blind and author feedback, respectively. Of the two, I believe author feedback is more important, as I’ve seen it make a difference. However, I still consider double blind reviewing a net wi
3 0.57590741 47 hunch net-2005-03-28-Open Problems for Colt
Introduction: Adam Klivans and Rocco Servedio are looking for open (learning theory) problems for COLT . This is a good idea in the same way that the KDDcup challenge is a good idea: crisp problem definitions that anyone can attack yield solutions that advance science.
4 0.57270473 184 hunch net-2006-06-15-IJCAI is out of season
Introduction: IJCAI is running January 6-12 in Hyderabad India rather than a more traditional summer date. (Presumably, this is to avoid melting people in the Indian summer.) The paper deadline(June 23 abstract / June 30 submission) are particularly inconvenient if you attend COLT or ICML . But on the other hand, it’s a good excuse to visit India.
5 0.50195372 481 hunch net-2013-04-15-NEML II
Introduction: Adam Kalai points out the New England Machine Learning Day May 1 at MSR New England. There is a poster session with abstracts due April 19. I understand last year’s NEML went well and it’s great to meet your neighbors at regional workshops like this.
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same-blog 1 1.0 326 hunch net-2008-11-11-COLT CFP
Introduction: Adam Klivans , points out the COLT call for papers . The important points are: Due Feb 13. Montreal, June 18-21. This year, there is author feedback.
2 1.0 465 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.
3 0.98530418 472 hunch net-2012-08-27-NYAS ML 2012 and ICML 2013
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.
4 0.95953137 271 hunch net-2007-11-05-CMU wins DARPA Urban Challenge
Introduction: The results have been posted , with CMU first , Stanford second , and Virginia Tech Third . Considering that this was an open event (at least for people in the US), this was a very strong showing for research at universities (instead of defense contractors, for example). Some details should become public at the NIPS workshops . Slashdot has a post with many comments.
5 0.95893633 446 hunch net-2011-10-03-Monday announcements
Introduction: Various people want to use hunch.net to announce things. I’ve generally resisted this because I feared hunch becoming a pure announcement zone while I am much more interested contentful posts and discussion personally. Nevertheless there is clearly some value and announcements are easy, so I’m planning to summarize announcements on Mondays. D. Sculley points out an interesting Semisupervised feature learning competition, with a deadline of October 17. Lihong Li points out the webscope user interaction dataset which is the first high quality exploration dataset I’m aware of that is publicly available. Seth Rogers points out CrossValidated which looks similar in conception to metaoptimize , but directly using the stackoverflow interface and with a bit more of a statistics twist.
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