What is the Association for Computational Learning (ACL)?
Research goals.Learning Theory.
Learning Theory is a research field devoted to studying the design and analysis of machine learning algorithms. In particular, such algorithms aim at making accurate predictions or representations based on observations.
The emphasis in COLT is on rigorous mathematical analysis using techniques from various connected fields such as probability, statistics, optimization, information theory and geometry. While theoretically rooted, learning theory puts a strong emphasis on efficient computation as well.
Mission.To organize COLT.
The general purpose of the Association for Computational Learning (ACL) is to advance learning theory by promoting the organization of the annual Conference on Learning Theory (COLT). The membership consists of COLT attendees. Registered attendees of a COLT conference become members for one year: from the beginning of that COLT until the beginning of the next one.
The Association for Computational Learning (ACL) is in charge of the organization of the Conference on Learning Theory (COLT), formerly known as the conference on Computational Learning Theory. This conference is held annually since 1988 and has become the leading conference on Learning theory by maintaining a highly selective process for submissions. It is committed in high-quality articles in all theoretical aspects of machine learning and related topics.
Proceedings of COLT automatically accepted in the Proceedings of Machine Learning Research if the authors desire to publish a conference paper.
COLT talks are recorded and made available on our YouTube Channel whenver possible (check individual COLT pages for more details).
Leadership.The Board of Directors.
The ACL makes all major decisions about the long-term future of the conference and selects a Board of Directors. All decisions are made in the annual meeting of members at the COLT conference (the “COLT business meeting”). The Board of Directors is responsible for the management of the Association. The Board consists of six Directors, each elected for a term of three years.
Specific tasks of the Board include:
-selection of the COLT conference locations and organizers
-selection of the COLT program chairs each year
-election of a President
-appointement of a Secretary, Treasurer and other officers
-maintenance of the learningtheory.org website.
Accepted papers since 2012
Directors and Officers
Director and Treasurer
Ulrike von Luxburg
Director and Secretary
"COLT is the leading international conference on the theory of Machine Learning and Artificial Intelligence."