[Probcogsci] Fwd: [ml-reading] Fwd: Bayesian Case studies

[Angela J. Yu]

An interesting meeting.

Begin forwarded message:

> From: David Blei <blei at CS.Princeton.EDU>
> Date: January 5, 2009 10:06:32 AM PST
> To: "Machine Learning Reading Group <ml- 
> reading at lists.cs.Princeton.EDU>" <ml-reading at lists.cs.Princeton.EDU>
> Subject: [ml-reading] Fwd: Bayesian Case studies
>
> hi all,
>
> this meeting is excellent.  for those of you doing collaborative  
> applied projects, it is well worth submitting to.  (the deadline is  
> july 1.)  also, note that mike jordan is giving a keynote address.
>
> best,
> dave
>
>
> Begin forwarded message:
>
>> The First Workshop on Case Studies of Bayesian Statistics and Machine
>> Learning will take place on October 16th and 17th, 2009 at Carnegie
>> Mellon University, Pittsburgh, PA. The Workshop will focus on
>> applications of Bayesian statistics and Machine Learning to problems
>> in science and technology. It will feature three different tracks:
>> In-depth contributed presentations and discussions of substantial
>> research, shorter presentations by young researchers and poster
>> presentations. The workshop builds upon the Case Studies of Bayesian
>> Statistics Workshop which was held at CMU for the last two decades.  
>> In
>> conjunction with the workshop, the Department of Statistics' Eleventh
>> Morris H DeGroot memorial lecture will be delivered by Professor
>> Michael Jordan, University of California at Berkeley.
>>
>>
>> We are calling for abstracts for all three tracks. The first is for
>> major case studies. Each presentation is expected to be delivered by
>> both, the statistician / ML researcher and their collaborator(s)  
>> from the
>> applied area. These presentations will be allocated a 3 hour slot and
>> are expected to be detailed and represent  long standing, successful
>> collaborations.  A detailed abstract (2-3 pages) from those  
>> interested
>> in presenting one of these collaborations is due Monday, February 2,
>> 2009.  Abstracts should emphasize the scientific and technological
>> background, and should clarify the extent to which the inferential
>> work will address key components of the problems articulated.
>>
>> The second track is for 15-minute presentations by young researchers
>> (students or those who completed PhD within the last five
>> years). Abstracts for this track should be 1-2 pages and are due July
>> 1. Abstracts should emphasize the scientific problems and how the
>> statistical work solves the problems.
>>
>> Abstracts not selected for presentation would be considered for a
>> poster session. In addition, we invite additional submissions for
>> posters (1 page) which are due September 1, 2009.
>>
>> LONG ABSTRACTS DUE   :  FEBRUARY 2nd 2009
>> SHORT ABSTRACTS DUE  :  JULY 1ST 2009
>> POSTER ABSTRACTS DUE :  SEPTEMBER 1ST 2009
>>
>> Please submit abstracts via our webpage
>>
>> http://bayesml1.stat.cmu.edu
>>
>> which contains additional information, including abstracts of
>> previous, successful case studies given at earlier Bayes case  
>> studies workshops.
>>
>>
>> The on-line (and free!) journal Bayesian Analysis has agreed to
>> publish the major case studies with discussion, and invites  
>> submission
>> of the other papers connected with the workshop.
>>
>>
>> If you have questions, please contact Jay Kadane at
>> kadane at stat.cmu.edu or Ziv Bar-Joseph at zivbj at cs.cmu.edu.
>>
>> Organizing Committee:
>> Jay Kadane, Department of Statistics, CMU (program chair)
>> Ziv Bar-Joseph, Machine Learning Department, CMU (program co-chair)
>> David Blei, Computer Science Department, Princeton
>> Merlise Clyde, Department of Statistics, Duke University
>> Zoubin Ghahramani, Department of Engineering, Cambridge University
>> David Heckerman, Microsoft Research
>> Tommi Jaakkola, Electrical engineering and computer science, MIT
>> Rob Kass, Department of Statistics, CMU
>> Tony O'Hagan, Department of Statistics, Sheffield University and  
>> Warwick University
>> Dalene Stangl, Department of Statistics, Duke University
>
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