COLT2009.CS.MCGILL.CA

COLT 2009

The 22nd Annual Conference on Learning Theory (COLT 2009) will be organized in Montreal, Canada on June 18-21, 2009. COLT is supported by the Association for Computational Learning (ACL). ACL is inviting nominations for new members to its board of directors (COLT steering committee). For more information, visit the ACL Board Elections. COLT 2009 is co-located with the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009). Will also be co-located. COLT registration is now open. June 18, 2009.

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COLT 2009 | colt2009.cs.mcgill.ca Reviews

<META> DESCRIPTION

The 22nd Annual Conference on Learning Theory (COLT 2009) will be organized in Montreal, Canada on June 18-21, 2009. COLT is supported by the Association for Computational Learning (ACL). ACL is inviting nominations for new members to its board of directors (COLT steering committee). For more information, visit the ACL Board Elections. COLT 2009 is co-located with the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009). Will also be co-located. COLT registration is now open. June 18, 2009.

<META> KEYWORDS

1 for participants

2 registration

3 accomodations

4 scholarships

5 venue and banquet

6 local information

7 programme

8 schedule

9 dates

10 workshops

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for participants,registration,accomodations,scholarships,venue and banquet,local information,programme,schedule,dates,workshops,invited speakers,accepted papers,proceedings,for authors,call for papers,author instructions,open problems,talks,organization

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COLT 2009 | colt2009.cs.mcgill.ca Reviews

https://colt2009.cs.mcgill.ca

The 22nd Annual Conference on Learning Theory (COLT 2009) will be organized in Montreal, Canada on June 18-21, 2009. COLT is supported by the Association for Computational Learning (ACL). ACL is inviting nominations for new members to its board of directors (COLT steering committee). For more information, visit the ACL Board Elections. COLT 2009 is co-located with the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009). Will also be co-located. COLT registration is now open. June 18, 2009.

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colt2009.cs.mcgill.ca

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COLT 2009

http://colt2009.cs.mcgill.ca/instructions.html

COLT 2009 Instructions for Authors. Submissions should include the title, authors' names, postal and email addresses, and a 200-word summary of the paper suitable for the conference program. Submissions should not exceed 10 pages (including bibliography) in a two-column format. Authors should consult the following style file. And sample LaTex source file. Authors should note that 10 pages is an upper limit. And shorter submissions are encouraged. By February 13, 2009, 5:59pm PST.

2

COLT 2009

http://colt2009.cs.mcgill.ca/ac.html

COLT 2009 Program Committee. University of California at San Diego. University of Texas at Austin. University of California at San Diego. Univeristy of Texas at Austin. University of California, Berkeley. Massachusetts Institute of Technology and. Toyota Technological Institute at Chicago. Los Alamos National Laboratory. University of California, Santa Cruz. Photos Pierre St-Jacques, Stephan Poulin (Tourisme Montreal).

3

COLT 2009

http://colt2009.cs.mcgill.ca/index.html

The 22nd Annual Conference on Learning Theory (COLT 2009) will be organized in Montreal, Canada on June 18-21, 2009. COLT is supported by the Association for Computational Learning (ACL). ACL is inviting nominations for new members to its board of directors (COLT steering committee). For more information, visit the ACL Board Elections. COLT 2009 is co-located with the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009). Will also be co-located. COLT registration is now open. June 18, 2009.

4

COLT 2009

http://colt2009.cs.mcgill.ca/sponsors.html

This conference would not be possible without the generous support of our sponsors:. Photos Pierre St-Jacques, Stephan Poulin (Tourisme Montreal).

5

COLT 2009

http://colt2009.cs.mcgill.ca/proceedings.html

Adam Kalai and Ravi Sastry. The Isotron Algorithm: High-Dimensional Isotonic Regression. Nader H. Bshouty and Phil Long. Linear classifiers are nearly optimal when hidden variables have diverse effect. Yishay Mansour, Mehryar Mohri and Afshin Rostamizadeh. Domain Adaptation: Learning Bounds and Algorithms. Optimal Algorithms for the Coin Weighing Problem with a Spring Scale. Eyal Even-Dar, Robert Kleinberg, Shie Mannor and Yishay Mansour. Online Learning for Global Cost Functions. Predicting the Labellin...

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cs.mcgill.ca

Doina Precup's homepage

http://www.cs.mcgill.ca/~dprecup

Doina Precup's Home Page. School of Computer Science. Montreal, Quebec, Canada. Artificial intelligence, machine learning, reinforcement learning, reasoning and planning under uncertainty, applications. Undergraduate program director, School of Computer Science. Coordinator of the local organization for ICML'2009. Co-located in Montreal, June 14-21, 2009. Organizer of the Multidisciplinary Symposium on Reinforcement Learning. June 18-19, 2009, Montreal. Office: McConnell Engineering Building, room 111N.

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colt2009.cs.mcgill.ca

COLT 2009

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