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AISB event Bulletin Item

CALL FOR PARTICIPATION: 29th International Conference on Machine Learning, June 26 - July 1, 2012, Edinburgh, SCOTLAND


ICML 2012

Registration: http://icml.cc/2012/registration
Hotel Room Reservation: http://icml.cc/2012/accommodation/

Workshops: http://icml.cc/2012/workshops/
Tutorials: http://icml.cc/2012/tutorials/

The 29th International Conference on Machine Learning (ICML) will be 
held in Edinburgh, Scotland, June 26 to July 1, 2012. ICML is the premier 
international forum for machine learning researchers and practitioners 
from academia, industry, and government to share their ideas, research 
results and experiences.

The conference will include three days of technical presentations,
one day of tutorials, and two days of workshops. In addition, this year the
conference will co-located with the 25th Annual Conference on
Learning Theory (COLT 2012).

Accepted papers will each have an oral presentation as well as a
poster in an evening poster session. Awards will be given for papers of
outstanding quality. There will also be talks by several invited speakers,
and a banquet.


* Yann LeCun, New York University
* Sethu Muthukrishnan, Rutgers University
* David MacKay FRS, University of Cambridge


ICML 2012 features a significantly expanded workshop program, with 19 
workshops over two days. The workshops are:

* European Workshop on Reinforcement Learning (EWRL)
* Machine Learning for Clinical Data
* Inferning: Interactions between Inference and Learning
* Learning from User-generated Content (LUC)
* Machine Learning in Human Computation & crowdsourcing
* Music and Machine Learning
* Object, Functional and Structured Data: towards Next Generation 
  Kernel-based Methods
* Online Advertising (AdML)
* Sparsity, Dictionaries and projections in ML and Signal Processing
* Statistical Relational Learning (SRL)
* Teaching ML
* Machine Learning in Genetics and Genomics (MLGG)
* Markets, Mechanisms and Multi-Agent Models
* Mining and Learning with Graphs (MLG)
* New Challenges for Exploration and Exploitation
* Optimization in Machine Learning
* Representation Learning
* RKHS and Kernel-based Methods
* Statistics, ML and Neuroscience (STAMLINS)


* Causal Inference  Conditional Independence and Beyond
* Mirror Descent and Saddle Point First Order Algorithms
* PAC-Bayesian Analysis in Supervised, Unsupervised, and 
 Reinforcement Learning
* Performance Evaluation for Learning Algorithms: Techniques, 
 Application and Issues
* Prediction, Belief, and Markets
* Probabilistic Topic Models
* Representation Learning
* Spectral Approaches to Learning Latent Variable Models
* Statistical Learning Theory in Reinforcement Learning and Approximate 
 Dynamic Programming


The conference will be held on campus at the University of Edinburgh. A 
discounted rate for hotels is available through the Edinburgh Convention 
Bureau. To receive the discounted rate, book your hotel room at:


Register early for discounted conference rates:

We hope to see you in Edinburgh!


General Chair:
Andrew McCallum, University of Massachusetts Amherst

Program Chairs:
John Langford, Yahoo! Research
Joelle Pineau, McGill University

Local Chair:
Charles Sutton, University of Edinburgh

Workshop Chairs:
Francis Bach, INRIA
Irina Rish, IBM Research

Tutorial Chairs:
Rob Schapire, Princeton University
Olivier Chapelle, Yahoo! Research

Publication Chairs:
Kilian Weinberger, Washington University, St. Louis
Amir Globerson, Hebrew University of Jerusalem

Publicity Chair:
Jingrui He, IBM Research

Scholarship Chair:
Jesse Davis, Katholieke Universiteit Leuven

Funding Chairs:
S V N Vishwanathan, Purdue University

Volunteers and Registration Chair:
Iain Murray, University of Edinburgh

Local Organizing Committee:
Chris Williams, University of Edinburgh
Amos Storkey, University of Edinburgh
Guido Sanguinetti, University of Edinburgh
Sethu Vijayakumar, University of Edinburgh

Workflow Manager:
Mahdi Milani Fard, McGill University

Francesco Figari, University of Edinburgh