hunch_net hunch_net-2014 hunch_net-2014-494 knowledge-graph by maker-knowledge-mining
Source: html
Introduction: The 20 13 14 is New York Machine Learning Symposium is finally happening on March 28th at the New York Academy of Science . Every invited speaker interests me personally. They are: Rayid Ghani (Chief Scientist at Obama 2012) Brian Kingsbury (Speech Recognition @ IBM) Jorge Nocedal (who did LBFGS) We’ve been somewhat disorganized in advertising this. As a consequence, anyone who has not submitted an abstract but would like to do so may send one directly to me (jl@hunch.net title NYASMLS) by Friday March 14. I will forward them to the rest of the committee for consideration.
sentIndex sentText sentNum sentScore
1 The 20 13 14 is New York Machine Learning Symposium is finally happening on March 28th at the New York Academy of Science . [sent-1, score-0.3]
2 They are: Rayid Ghani (Chief Scientist at Obama 2012) Brian Kingsbury (Speech Recognition @ IBM) Jorge Nocedal (who did LBFGS) We’ve been somewhat disorganized in advertising this. [sent-3, score-0.51]
3 As a consequence, anyone who has not submitted an abstract but would like to do so may send one directly to me (jl@hunch. [sent-4, score-0.784]
4 I will forward them to the rest of the committee for consideration. [sent-6, score-0.423]
wordName wordTfidf (topN-words)
[('march', 0.273), ('york', 0.245), ('kingsbury', 0.223), ('disorganized', 0.223), ('scientist', 0.207), ('chief', 0.207), ('speaker', 0.207), ('lbfgs', 0.207), ('brian', 0.195), ('jl', 0.186), ('academy', 0.186), ('friday', 0.178), ('advertising', 0.178), ('consequence', 0.167), ('consideration', 0.162), ('forward', 0.162), ('interests', 0.158), ('happening', 0.15), ('finally', 0.15), ('ibm', 0.147), ('submitted', 0.147), ('title', 0.144), ('send', 0.144), ('speech', 0.141), ('recognition', 0.141), ('committee', 0.139), ('symposium', 0.134), ('abstract', 0.132), ('rest', 0.122), ('invited', 0.121), ('somewhat', 0.109), ('directly', 0.1), ('science', 0.094), ('anyone', 0.092), ('every', 0.081), ('new', 0.079), ('ve', 0.067), ('would', 0.056), ('may', 0.044), ('like', 0.044), ('machine', 0.032), ('one', 0.025), ('learning', 0.013)]
simIndex simValue blogId blogTitle
same-blog 1 0.99999994 494 hunch net-2014-03-11-The New York ML Symposium, take 2
Introduction: The 20 13 14 is New York Machine Learning Symposium is finally happening on March 28th at the New York Academy of Science . Every invited speaker interests me personally. They are: Rayid Ghani (Chief Scientist at Obama 2012) Brian Kingsbury (Speech Recognition @ IBM) Jorge Nocedal (who did LBFGS) We’ve been somewhat disorganized in advertising this. As a consequence, anyone who has not submitted an abstract but would like to do so may send one directly to me (jl@hunch.net title NYASMLS) by Friday March 14. I will forward them to the rest of the committee for consideration.
2 0.24516606 489 hunch net-2013-09-20-No NY ML Symposium in 2013, and some good news
Introduction: There will be no New York ML Symposium this year. The core issue is that NYAS is disorganized by people leaving, pushing back the date, with the current candidate a spring symposium on March 28. Gunnar and I were outvoted here—we were gung ho on organizing a fall symposium, but the rest of the committee wants to wait. In some good news, most of the ICML 2012 videos have been restored from a deep backup.
3 0.16342771 11 hunch net-2005-02-02-Paper Deadlines
Introduction: 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
4 0.14852531 273 hunch net-2007-11-16-MLSS 2008
Introduction: … is in Kioloa, Australia from March 3 to March 14. It’s a great chance to learn something about Machine Learning and I’ve enjoyed several previous Machine Learning Summer Schools . The website has many more details , but registration is open now for the first 80 to sign up.
5 0.13627987 460 hunch net-2012-03-24-David Waltz
Introduction: has died . He lived a full life. I know him personally as a founder of the Center for Computational Learning Systems and the New York Machine Learning Symposium , both of which have sheltered and promoted the advancement of machine learning. I expect much of the New York area machine learning community will miss him, as well as many others around the world.
6 0.12889715 475 hunch net-2012-10-26-ML Symposium and Strata-Hadoop World
7 0.11788972 369 hunch net-2009-08-27-New York Area Machine Learning Events
8 0.10972799 457 hunch net-2012-02-29-Key Scientific Challenges and the Franklin Symposium
9 0.1072972 410 hunch net-2010-09-17-New York Area Machine Learning Events
10 0.091323957 462 hunch net-2012-04-20-Both new: STOC workshops and NEML
11 0.088034846 474 hunch net-2012-10-18-7th Annual Machine Learning Symposium
12 0.08481358 316 hunch net-2008-09-04-Fall ML Conferences
13 0.079576746 10 hunch net-2005-02-02-Kolmogorov Complexity and Googling
14 0.076674387 106 hunch net-2005-09-04-Science in the Government
15 0.075298235 425 hunch net-2011-02-25-Yahoo! Machine Learning grant due March 11
16 0.072102107 292 hunch net-2008-03-15-COLT Open Problems
17 0.068519741 124 hunch net-2005-10-19-Workshop: Atomic Learning
18 0.067777932 443 hunch net-2011-09-03-Fall Machine Learning Events
19 0.06708359 145 hunch net-2005-12-29-Deadline Season
20 0.066670522 472 hunch net-2012-08-27-NYAS ML 2012 and ICML 2013
topicId topicWeight
[(0, 0.086), (1, -0.089), (2, -0.102), (3, -0.052), (4, -0.027), (5, -0.044), (6, -0.054), (7, 0.021), (8, -0.106), (9, -0.217), (10, 0.074), (11, -0.077), (12, 0.099), (13, 0.017), (14, -0.011), (15, 0.074), (16, -0.041), (17, -0.035), (18, 0.011), (19, -0.061), (20, -0.027), (21, 0.051), (22, -0.047), (23, 0.007), (24, -0.036), (25, -0.03), (26, -0.104), (27, 0.122), (28, 0.138), (29, -0.084), (30, -0.007), (31, 0.186), (32, 0.024), (33, 0.034), (34, 0.02), (35, -0.043), (36, 0.056), (37, 0.074), (38, -0.053), (39, -0.002), (40, 0.057), (41, 0.066), (42, -0.053), (43, 0.076), (44, 0.033), (45, 0.007), (46, -0.015), (47, 0.02), (48, -0.033), (49, -0.011)]
simIndex simValue blogId blogTitle
same-blog 1 0.98150533 494 hunch net-2014-03-11-The New York ML Symposium, take 2
Introduction: The 20 13 14 is New York Machine Learning Symposium is finally happening on March 28th at the New York Academy of Science . Every invited speaker interests me personally. They are: Rayid Ghani (Chief Scientist at Obama 2012) Brian Kingsbury (Speech Recognition @ IBM) Jorge Nocedal (who did LBFGS) We’ve been somewhat disorganized in advertising this. As a consequence, anyone who has not submitted an abstract but would like to do so may send one directly to me (jl@hunch.net title NYASMLS) by Friday March 14. I will forward them to the rest of the committee for consideration.
2 0.88210613 489 hunch net-2013-09-20-No NY ML Symposium in 2013, and some good news
Introduction: There will be no New York ML Symposium this year. The core issue is that NYAS is disorganized by people leaving, pushing back the date, with the current candidate a spring symposium on March 28. Gunnar and I were outvoted here—we were gung ho on organizing a fall symposium, but the rest of the committee wants to wait. In some good news, most of the ICML 2012 videos have been restored from a deep backup.
3 0.62971377 460 hunch net-2012-03-24-David Waltz
Introduction: has died . He lived a full life. I know him personally as a founder of the Center for Computational Learning Systems and the New York Machine Learning Symposium , both of which have sheltered and promoted the advancement of machine learning. I expect much of the New York area machine learning community will miss him, as well as many others around the world.
4 0.6200071 474 hunch net-2012-10-18-7th Annual Machine Learning Symposium
Introduction: 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.
5 0.58656484 410 hunch net-2010-09-17-New York Area Machine Learning Events
Introduction: On Sept 21, there is another machine learning meetup where I’ll be speaking. Although the topic is contextual bandits, I think of it as “the future of machine learning”. In particular, it’s all about how to learn in an interactive environment, such as for ad display, trading, news recommendation, etc… On Sept 24, abstracts for the New York Machine Learning Symposium are due. This is the largest Machine Learning event in the area, so it’s a great way to have a conversation with other people. On Oct 22, the NY ML Symposium actually happens. This year, we are expanding the spotlights, and trying to have more time for posters. In addition, we have a strong set of invited speakers: David Blei , Sanjoy Dasgupta , Tommi Jaakkola , and Yann LeCun . After the meeting, a late hackNY related event is planned where students and startups can meet. I’d also like to point out the related CS/Econ symposium as I have interests there as well.
6 0.5859617 415 hunch net-2010-10-28-NY ML Symposium 2010
7 0.54547095 369 hunch net-2009-08-27-New York Area Machine Learning Events
8 0.53873086 475 hunch net-2012-10-26-ML Symposium and Strata-Hadoop World
9 0.52908713 316 hunch net-2008-09-04-Fall ML Conferences
10 0.48732898 457 hunch net-2012-02-29-Key Scientific Challenges and the Franklin Symposium
11 0.44528225 273 hunch net-2007-11-16-MLSS 2008
12 0.4413909 125 hunch net-2005-10-20-Machine Learning in the News
13 0.41618428 11 hunch net-2005-02-02-Paper Deadlines
14 0.41509202 462 hunch net-2012-04-20-Both new: STOC workshops and NEML
15 0.41400912 447 hunch net-2011-10-10-ML Symposium and ICML details
16 0.41315079 472 hunch net-2012-08-27-NYAS ML 2012 and ICML 2013
17 0.38996655 448 hunch net-2011-10-24-2011 ML symposium and the bears
18 0.38252482 443 hunch net-2011-09-03-Fall Machine Learning Events
19 0.3758873 470 hunch net-2012-07-17-MUCMD and BayLearn
20 0.37535727 487 hunch net-2013-07-24-ICML 2012 videos lost
topicId topicWeight
[(27, 0.102), (53, 0.029), (54, 0.581), (55, 0.151)]
simIndex simValue blogId blogTitle
same-blog 1 0.92924774 494 hunch net-2014-03-11-The New York ML Symposium, take 2
Introduction: The 20 13 14 is New York Machine Learning Symposium is finally happening on March 28th at the New York Academy of Science . Every invited speaker interests me personally. They are: Rayid Ghani (Chief Scientist at Obama 2012) Brian Kingsbury (Speech Recognition @ IBM) Jorge Nocedal (who did LBFGS) We’ve been somewhat disorganized in advertising this. As a consequence, anyone who has not submitted an abstract but would like to do so may send one directly to me (jl@hunch.net title NYASMLS) by Friday March 14. I will forward them to the rest of the committee for consideration.
2 0.90820318 376 hunch net-2009-11-06-Yisong Yue on Self-improving Systems
Introduction: I’d like to point out Yisong Yue ‘s post on Self-improving systems , which is a nicely readable description of the necessity and potential of interactive learning to deal with the information overload problem that is endemic to the modern internet.
3 0.6872651 335 hunch net-2009-01-08-Predictive Analytics World
Introduction: Carla Vicens and Eric Siegel contacted me about Predictive Analytics World in San Francisco February 18&19, which I wasn’t familiar with. A quick look at the agenda reveals several people I know working on applications of machine learning in businesses, covering deployed applications topics. It’s interesting to see a business-focused machine learning conference, as it says that we are succeeding as a field. If you are interested in deployed applications, you might attend. Eric and I did a quick interview by email. John > I’ve mostly published and participated in academic machine learning conferences like ICML, COLT, and NIPS. When I look at the set of speakers and subjects for your conference I think “machine learning for business”. Is that your understanding of things? What I’m trying to ask is: what do you view as the primary goal for this conference? Eric > You got it. This is the business event focused on the commercial deployment of technology developed at
4 0.67959267 336 hunch net-2009-01-19-Netflix prize within epsilon
Introduction: The competitors for the Netflix Prize are tantalizingly close winning the million dollar prize. This year, BellKor and Commendo Research sent a combined solution that won the progress prize . Reading the writeups 2 is instructive. Several aspects of solutions are taken for granted including stochastic gradient descent, ensemble prediction, and targeting residuals (a form of boosting). Relatively to last year, it appears that many approaches have added parameterizations, especially for the purpose of modeling through time. The big question is: will they make the big prize? At this point, the level of complexity in entering the competition is prohibitive, so perhaps only the existing competitors will continue to try. (This equation might change drastically if the teams open source their existing solutions, including parameter settings.) One fear is that the progress is asymptoting on the wrong side of the 10% threshold. In the first year, the teams progressed through
5 0.53623724 458 hunch net-2012-03-06-COLT-ICML Open Questions and ICML Instructions
Introduction: Sasha is the open problems chair for both COLT and ICML . Open problems will be presented in a joint session in the evening of the COLT/ICML overlap day. COLT has a history of open sessions, but this is new for ICML. If you have a difficult theoretically definable problem in machine learning, consider submitting it for review, due March 16 . You’ll benefit three ways: The effort of writing down a precise formulation of what you want often helps you understand the nature of the problem. Your problem will be officially published and citable. You might have it solved by some very intelligent bored people. The general idea could easily be applied to any problem which can be crisply stated with an easily verifiable solution, and we may consider expanding this in later years, but for this year all problems need to be of a theoretical variety. Joelle and I (and Mahdi , and Laurent ) finished an initial assignment of Program Committee and Area Chairs to pap
6 0.44531268 33 hunch net-2005-02-28-Regularization
7 0.32073468 369 hunch net-2009-08-27-New York Area Machine Learning Events
8 0.31170228 443 hunch net-2011-09-03-Fall Machine Learning Events
9 0.30844551 10 hunch net-2005-02-02-Kolmogorov Complexity and Googling
10 0.29860842 270 hunch net-2007-11-02-The Machine Learning Award goes to …
11 0.29751462 90 hunch net-2005-07-07-The Limits of Learning Theory
12 0.29623938 395 hunch net-2010-04-26-Compassionate Reviewing
13 0.29018545 20 hunch net-2005-02-15-ESPgame and image labeling
14 0.28819489 448 hunch net-2011-10-24-2011 ML symposium and the bears
15 0.2873677 453 hunch net-2012-01-28-Why COLT?
16 0.28726932 302 hunch net-2008-05-25-Inappropriate Mathematics for Machine Learning
17 0.28597644 452 hunch net-2012-01-04-Why ICML? and the summer conferences
18 0.28525367 271 hunch net-2007-11-05-CMU wins DARPA Urban Challenge
19 0.28390715 446 hunch net-2011-10-03-Monday announcements
20 0.28324711 331 hunch net-2008-12-12-Summer Conferences