hunch_net hunch_net-2007 hunch_net-2007-234 knowledge-graph by maker-knowledge-mining
Source: html
Introduction: As usual ICML 2007 will be hosting a workshop program to be held this year on June 24th. The success of the program depends on having researchers like you propose interesting workshop topics and then organize the workshops. I’d like to encourage all of you to consider sending a workshop proposal. The proposal deadline has been extended to March 5. See the workshop web-site for details. Organizing a workshop is a unique way to gather an international group of researchers together to focus for an entire day on a topic of your choosing. I’ve always found that the cost of organizing a workshop is not so large, and very low compared to the benefits. The topic and format of a workshop are limited only by your imagination (and the attractiveness to potential participants) and need not follow the usual model of a mini-conference on a particular ML sub-area. Hope to see some interesting proposals rolling in.
sentIndex sentText sentNum sentScore
1 As usual ICML 2007 will be hosting a workshop program to be held this year on June 24th. [sent-1, score-1.213]
2 The success of the program depends on having researchers like you propose interesting workshop topics and then organize the workshops. [sent-2, score-1.556]
3 I’d like to encourage all of you to consider sending a workshop proposal. [sent-3, score-0.865]
4 The proposal deadline has been extended to March 5. [sent-4, score-0.364]
5 Organizing a workshop is a unique way to gather an international group of researchers together to focus for an entire day on a topic of your choosing. [sent-6, score-1.711]
6 I’ve always found that the cost of organizing a workshop is not so large, and very low compared to the benefits. [sent-7, score-1.114]
7 The topic and format of a workshop are limited only by your imagination (and the attractiveness to potential participants) and need not follow the usual model of a mini-conference on a particular ML sub-area. [sent-8, score-1.706]
8 Hope to see some interesting proposals rolling in. [sent-9, score-0.504]
wordName wordTfidf (topN-words)
[('workshop', 0.482), ('usual', 0.295), ('organizing', 0.244), ('topic', 0.18), ('hosting', 0.177), ('rolling', 0.177), ('researchers', 0.168), ('imagination', 0.164), ('gather', 0.155), ('propose', 0.148), ('sending', 0.142), ('proposal', 0.137), ('extended', 0.137), ('program', 0.137), ('depends', 0.132), ('proposals', 0.129), ('organize', 0.125), ('held', 0.122), ('unique', 0.119), ('international', 0.119), ('june', 0.117), ('follow', 0.11), ('encourage', 0.11), ('march', 0.108), ('entire', 0.106), ('format', 0.106), ('topics', 0.105), ('interesting', 0.104), ('participants', 0.103), ('compared', 0.097), ('focus', 0.097), ('group', 0.097), ('together', 0.096), ('see', 0.094), ('day', 0.092), ('limited', 0.092), ('deadline', 0.09), ('potential', 0.087), ('success', 0.085), ('low', 0.083), ('cost', 0.081), ('ml', 0.08), ('like', 0.07), ('model', 0.067), ('need', 0.066), ('found', 0.065), ('hope', 0.064), ('always', 0.062), ('consider', 0.061), ('particular', 0.057)]
simIndex simValue blogId blogTitle
same-blog 1 0.99999988 234 hunch net-2007-02-22-Create Your Own ICML Workshop
Introduction: As usual ICML 2007 will be hosting a workshop program to be held this year on June 24th. The success of the program depends on having researchers like you propose interesting workshop topics and then organize the workshops. I’d like to encourage all of you to consider sending a workshop proposal. The proposal deadline has been extended to March 5. See the workshop web-site for details. Organizing a workshop is a unique way to gather an international group of researchers together to focus for an entire day on a topic of your choosing. I’ve always found that the cost of organizing a workshop is not so large, and very low compared to the benefits. The topic and format of a workshop are limited only by your imagination (and the attractiveness to potential participants) and need not follow the usual model of a mini-conference on a particular ML sub-area. Hope to see some interesting proposals rolling in.
2 0.21530257 198 hunch net-2006-07-25-Upcoming conference
Introduction: The Workshop for Women in Machine Learning will be held in San Diego on October 4, 2006. For details see the workshop website: http://www.seas.upenn.edu/~wiml/
3 0.1963672 141 hunch net-2005-12-17-Workshops as Franchise Conferences
Introduction: Founding a successful new conference is extraordinarily difficult. As a conference founder, you must manage to attract a significant number of good papers—enough to entice the participants into participating next year and to (generally) to grow the conference. For someone choosing to participate in a new conference, there is a very significant decision to make: do you send a paper to some new conference with no guarantee that the conference will work out? Or do you send it to another (possibly less related) conference that you are sure will work? The conference founding problem is a joint agreement problem with a very significant barrier. Workshops are a way around this problem, and workshops attached to conferences are a particularly effective means for this. A workshop at a conference is sure to have people available to speak and attend and is sure to have a large audience available. Presenting work at a workshop is not generally exclusive: it can also be presented at a confe
4 0.18323334 46 hunch net-2005-03-24-The Role of Workshops
Introduction: 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. ICML workshops Due April 1 IJCAI workshops Deadlines Vary KDD workshops Not yet finalized 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.)
5 0.16862887 404 hunch net-2010-08-20-The Workshop on Cores, Clusters, and Clouds
Introduction: Alekh , John , Ofer , and I are organizing a workshop at NIPS this year on learning in parallel and distributed environments. The general interest level in parallel learning seems to be growing rapidly, so I expect quite a bit of attendance. Please join us if you are parallel-interested. And, if you are working in the area of parallel learning, please consider submitting an abstract due Oct. 17 for presentation at the workshop.
6 0.16588773 80 hunch net-2005-06-10-Workshops are not Conferences
7 0.14625829 488 hunch net-2013-08-31-Extreme Classification workshop at NIPS
8 0.14460781 265 hunch net-2007-10-14-NIPS workshp: Learning Problem Design
9 0.1411714 433 hunch net-2011-04-23-ICML workshops due
10 0.12854683 285 hunch net-2008-01-23-Why Workshop?
11 0.12142018 113 hunch net-2005-09-19-NIPS Workshops
12 0.11232974 277 hunch net-2007-12-12-Workshop Summary—Principles of Learning Problem Design
13 0.11134796 455 hunch net-2012-02-20-Berkeley Streaming Data Workshop
14 0.11118764 203 hunch net-2006-08-18-Report of MLSS 2006 Taipei
15 0.10414782 266 hunch net-2007-10-15-NIPS workshops extended to 3 days
16 0.10253318 124 hunch net-2005-10-19-Workshop: Atomic Learning
17 0.099626958 319 hunch net-2008-10-01-NIPS 2008 workshop on ‘Learning over Empirical Hypothesis Spaces’
18 0.093294203 343 hunch net-2009-02-18-Decision by Vetocracy
19 0.093145847 357 hunch net-2009-05-30-Many ways to Learn this summer
20 0.089981481 279 hunch net-2007-12-19-Cool and interesting things seen at NIPS
topicId topicWeight
[(0, 0.143), (1, -0.153), (2, -0.14), (3, -0.156), (4, 0.021), (5, 0.132), (6, 0.056), (7, -0.007), (8, -0.001), (9, -0.095), (10, 0.017), (11, -0.099), (12, 0.04), (13, 0.022), (14, 0.014), (15, -0.083), (16, -0.046), (17, 0.128), (18, -0.172), (19, -0.042), (20, -0.208), (21, -0.138), (22, -0.052), (23, 0.083), (24, 0.126), (25, 0.048), (26, 0.024), (27, -0.05), (28, 0.01), (29, 0.035), (30, -0.077), (31, -0.026), (32, 0.094), (33, -0.092), (34, -0.068), (35, -0.029), (36, 0.035), (37, 0.011), (38, 0.083), (39, -0.051), (40, -0.013), (41, 0.032), (42, -0.106), (43, -0.065), (44, 0.018), (45, 0.016), (46, 0.056), (47, -0.001), (48, -0.005), (49, 0.043)]
simIndex simValue blogId blogTitle
same-blog 1 0.99452293 234 hunch net-2007-02-22-Create Your Own ICML Workshop
Introduction: As usual ICML 2007 will be hosting a workshop program to be held this year on June 24th. The success of the program depends on having researchers like you propose interesting workshop topics and then organize the workshops. I’d like to encourage all of you to consider sending a workshop proposal. The proposal deadline has been extended to March 5. See the workshop web-site for details. Organizing a workshop is a unique way to gather an international group of researchers together to focus for an entire day on a topic of your choosing. I’ve always found that the cost of organizing a workshop is not so large, and very low compared to the benefits. The topic and format of a workshop are limited only by your imagination (and the attractiveness to potential participants) and need not follow the usual model of a mini-conference on a particular ML sub-area. Hope to see some interesting proposals rolling in.
2 0.83926612 198 hunch net-2006-07-25-Upcoming conference
Introduction: The Workshop for Women in Machine Learning will be held in San Diego on October 4, 2006. For details see the workshop website: http://www.seas.upenn.edu/~wiml/
3 0.67007667 80 hunch net-2005-06-10-Workshops are not Conferences
Introduction: … and you should use that fact. A workshop differs from a conference in that it is about a focused group of people worrying about a focused topic. It also differs in that a workshop is typically a “one-time affair” rather than a series. (The Snowbird learning workshop counts as a conference in this respect.) A common failure mode of both organizers and speakers at a workshop is to treat it as a conference. This is “ok”, but it is not really taking advantage of the situation. Here are some things I’ve learned: For speakers: A smaller audience means it can be more interactive. Interactive means a better chance to avoid losing your audience and a more interesting presentation (because you can adapt to your audience). Greater focus amongst the participants means you can get to the heart of the matter more easily, and discuss tradeoffs more carefully. Unlike conferences, relevance is more valued than newness. For organizers: Not everything needs to be in a conference st
4 0.61448038 319 hunch net-2008-10-01-NIPS 2008 workshop on ‘Learning over Empirical Hypothesis Spaces’
Introduction: This workshop asks for insights how far we may/can push the theoretical boundary of using data in the design of learning machines. Can we express our classification rule in terms of the sample, or do we have to stick to a core assumption of classical statistical learning theory, namely that the hypothesis space is to be defined independent from the sample? This workshop is particularly interested in – but not restricted to – the ‘luckiness framework’ and the recently introduced notion of ‘compatibility functions’ in a semi-supervised learning context (more information can be found at http://www.kuleuven.be/wehys ).
5 0.59015399 321 hunch net-2008-10-19-NIPS 2008 workshop on Kernel Learning
Introduction: We’d like to invite hunch.net readers to participate in the NIPS 2008 workshop on kernel learning. While the main focus is on automatically learning kernels from data, we are also also looking at the broader questions of feature selection, multi-task learning and multi-view learning. There are no restrictions on the learning problem being addressed (regression, classification, etc), and both theoretical and applied work will be considered. The deadline for submissions is October 24 . More detail can be found here . Corinna Cortes, Arthur Gretton, Gert Lanckriet, Mehryar Mohri, Afshin Rostamizadeh
6 0.58342743 433 hunch net-2011-04-23-ICML workshops due
7 0.54777044 404 hunch net-2010-08-20-The Workshop on Cores, Clusters, and Clouds
8 0.54474354 124 hunch net-2005-10-19-Workshop: Atomic Learning
9 0.52151221 265 hunch net-2007-10-14-NIPS workshp: Learning Problem Design
10 0.51610953 488 hunch net-2013-08-31-Extreme Classification workshop at NIPS
11 0.50852853 114 hunch net-2005-09-20-Workshop Proposal: Atomic Learning
12 0.50794619 141 hunch net-2005-12-17-Workshops as Franchise Conferences
13 0.49833524 455 hunch net-2012-02-20-Berkeley Streaming Data Workshop
14 0.4776372 459 hunch net-2012-03-13-The Submodularity workshop and Lucca Professorship
15 0.46914196 277 hunch net-2007-12-12-Workshop Summary—Principles of Learning Problem Design
16 0.45698977 381 hunch net-2009-12-07-Vowpal Wabbit version 4.0, and a NIPS heresy
17 0.4564319 476 hunch net-2012-12-29-Simons Institute Big Data Program
18 0.44548503 113 hunch net-2005-09-19-NIPS Workshops
19 0.44508141 443 hunch net-2011-09-03-Fall Machine Learning Events
20 0.43839678 417 hunch net-2010-11-18-ICML 2011 – Call for Tutorials
topicId topicWeight
[(27, 0.099), (33, 0.321), (38, 0.054), (55, 0.184), (94, 0.04), (95, 0.175)]
simIndex simValue blogId blogTitle
same-blog 1 0.87668151 234 hunch net-2007-02-22-Create Your Own ICML Workshop
Introduction: As usual ICML 2007 will be hosting a workshop program to be held this year on June 24th. The success of the program depends on having researchers like you propose interesting workshop topics and then organize the workshops. I’d like to encourage all of you to consider sending a workshop proposal. The proposal deadline has been extended to March 5. See the workshop web-site for details. Organizing a workshop is a unique way to gather an international group of researchers together to focus for an entire day on a topic of your choosing. I’ve always found that the cost of organizing a workshop is not so large, and very low compared to the benefits. The topic and format of a workshop are limited only by your imagination (and the attractiveness to potential participants) and need not follow the usual model of a mini-conference on a particular ML sub-area. Hope to see some interesting proposals rolling in.
2 0.7167182 61 hunch net-2005-04-25-Embeddings: what are they good for?
Introduction: I’ve been looking at some recent embeddings work, and am struck by how beautiful the theory and algorithms are. It also makes me wonder, what are embeddings good for? A few things immediately come to mind: (1) For visualization of high-dimensional data sets. In this case, one would like good algorithms for embedding specifically into 2- and 3-dimensional Euclidean spaces. (2) For nonparametric modeling. The usual nonparametric models (histograms, nearest neighbor) often require resources which are exponential in the dimension. So if the data actually lie close to some low-dimensional surface, it might be a good idea to first identify this surface and embed the data before applying the model. Incidentally, for applications like these, it’s important to have a functional mapping from high to low dimension, which some techniques do not yield up. (3) As a prelude to classifier learning. The hope here is presumably that learning will be easier in the low-dimensional space,
3 0.69419789 384 hunch net-2009-12-24-Top graduates this season
Introduction: I would like to point out 3 graduates this season as having my confidence they are capable of doing great things. Daniel Hsu has diverse papers with diverse coauthors on {active learning, mulitlabeling, temporal learning, …} each covering new algorithms and methods of analysis. He is also a capable programmer, having helped me with some nitty-gritty details of cluster parallel Vowpal Wabbit this summer. He has an excellent tendency to just get things done. Nicolas Lambert doesn’t nominally work in machine learning, but I’ve found his work in elicitation relevant nevertheless. In essence, elicitable properties are closely related to learnable properties, and the elicitation complexity is related to a notion of learning complexity. See the Surrogate regret bounds paper for some related discussion. Few people successfully work at such a general level that it crosses fields, but he’s one of them. Yisong Yue is deeply focused on interactive learning, which he has a
4 0.67090023 350 hunch net-2009-04-23-Jonathan Chang at Slycoder
Introduction: Jonathan Chang has a research blog on aspects of machine learning.
5 0.66363877 493 hunch net-2014-02-16-Metacademy: a package manager for knowledge
Introduction: In recent years, there’s been an explosion of free educational resources that make high-level knowledge and skills accessible to an ever-wider group of people. In your own field, you probably have a good idea of where to look for the answer to any particular question. But outside your areas of expertise, sifting through textbooks, Wikipedia articles, research papers, and online lectures can be bewildering (unless you’re fortunate enough to have a knowledgeable colleague to consult). What are the key concepts in the field, how do they relate to each other, which ones should you learn, and where should you learn them? Courses are a major vehicle for packaging educational materials for a broad audience. The trouble is that they’re typically meant to be consumed linearly, regardless of your specific background or goals. Also, unless thousands of other people have had the same background and learning goals, there may not even be a course that fits your needs. Recently, we ( Roger Grosse
6 0.63002825 462 hunch net-2012-04-20-Both new: STOC workshops and NEML
7 0.59551424 105 hunch net-2005-08-23-(Dis)similarities between academia and open source programmers
8 0.58986402 389 hunch net-2010-02-26-Yahoo! ML events
9 0.57999086 30 hunch net-2005-02-25-Why Papers?
10 0.5585109 344 hunch net-2009-02-22-Effective Research Funding
11 0.55606735 456 hunch net-2012-02-24-ICML+50%
12 0.53699839 216 hunch net-2006-11-02-2006 NIPS workshops
13 0.53518492 464 hunch net-2012-05-03-Microsoft Research, New York City
14 0.53350013 453 hunch net-2012-01-28-Why COLT?
15 0.53085822 127 hunch net-2005-11-02-Progress in Active Learning
16 0.52795285 443 hunch net-2011-09-03-Fall Machine Learning Events
17 0.52612382 373 hunch net-2009-10-03-Static vs. Dynamic multiclass prediction
18 0.52332717 466 hunch net-2012-06-05-ICML acceptance statistics
19 0.52297556 65 hunch net-2005-05-02-Reviewing techniques for conferences
20 0.52090251 395 hunch net-2010-04-26-Compassionate Reviewing