(Message inbox:30) Date: Sat, 16 Nov 1996 02:03:13 PST To: Local Distribution From: Robert Schapire Subject: Call for papers: COLT '97 Return-Path: Approved-By: Doug Ierardi Approved-By: Theory-A - TheoryNet World-Wide Events Reply-To: Theory-A - TheoryNet World-Wide Events , Robert Schapire Sender: TheoryNet List Comments: To: THEORY-A@LISTSERV.NODAK.EDU =========================================================================== -- Call for Papers -- COLT '97 Tenth Annual Conference on Computational Learning Theory Vanderbilt University, Nashville, Tennessee July 6--9, 1997 =========================================================================== The Tenth Annual Conference on Computational Learning Theory (COLT'97) will be held at Vanderbilt University in Nashville, Tennessee from Sunday, July 6 through Wednesday, July 9, 1997. COLT'97 is sponsored by Vanderbilt University, with additional support from AT&T Labs, and in cooperation with ACM SIGACT and SIGART. The conference will be co-located with the Fourteenth International Conference on Machine Learning (ICML'97) which will be held Tuesday, July 8 through Saturday, July 12. We anticipate a lively program including oral presentations, posters, a number of invited speakers and a half day of tutorials (jointly organized with ICML). We invite papers in all areas that relate directly to the analysis of learning algorithms and the theory of machine learning. Some of the issues and topics that have been addressed in the past include: * design and analysis of learning algorithms; * sample and computational complexity of learning specific model classes; * frameworks modeling the interaction between the learner, teacher and the environment (such as learning with queries, learning control policies and inductive inference); * learning using complex models (such as neural networks and decision trees); * learning with minimal prior assumptions (such as mistake-bound models, universal prediction, and agnostic learning). We strongly encourage submissions from all disciplines engaged in research on these and related questions. Examples of such fields include computer science, statistics, information theory, pattern recognition, statistical physics, inductive logic programming, information retrieval and reinforcement learning. We also encourage the submission of papers describing experimental results that are supported by theoretical analysis. ABSTRACT SUBMISSION: Authors are encouraged to submit their abstracts electronically. Instructions for how to submit papers electronically can be obtained after December 1 by sending email to colt97@research.att.com with subject "help", or from our web page. Alternatively, authors may submit fourteen copies (preferably two-sided) of an extended abstract to: Robert Schapire -- COLT'97 AT&T Labs 600 Mountain Avenue, Room 2A-424 Murray Hill, NJ 07974 USA Telephone (for overnight mail): (908) 582-4533 Abstracts (whether hard-copy or electronic) must be RECEIVED by 11:59pm EST on FRIDAY, JANUARY 17, 1997. This deadline is FIRM. (We also will accept abstracts sent via air mail and postmarked by January 6, or sent via overnight carrier by January 16.) Authors will be notified of acceptance or rejection on or before March 24, 1997. Final camera-ready papers will be due by April 18. Papers that have appeared in journals or other conferences, or that are being submitted to other conferences (including ICML), are NOT appropriate for submission to COLT. ABSTRACT FORMAT: The extended abstract should consist of a cover page with title, authors' names, postal and email addresses, and a 200-word summary. The body of the abstract should be no longer than 10 pages with at most 35 lines per page, at most 6.5 inches of text per line, and in 12-point font. If the abstract exceeds 10 pages, only the first 10 pages may be examined. The extended abstract should include a clear definition of the theoretical model used and a clear description of the results, as well as a discussion of their significance, including comparison to other work. Proofs or proof sketches should be included. PROGRAM FORMAT: All accepted papers will be presented orally, although some or all papers may also be included in a poster session. At the discretion of the program committee, the program may consist of both long and short talks, corresponding to longer and shorter papers in the proceedings. By default, all papers will be considered for both categories. Authors who DO NOT want their papers considered for the short category should indicate that fact in a cover letter. PROGRAM CHAIRS: Yoav Freund and Robert Schapire (AT&T Labs). PROGRAM COMMITTEE: Andrew Barron (Yale University), John Case (University of Delaware), Sally Goldman (Washington University), David Helmbold (University of California, Santa Cruz), Rob Holte (University of Ottawa), Eyal Kushilevitz (Technion), Ga`bor Lugosi (Pompeu Fabra University, Barcelona), Arun Sharma (University of New South Wales), John Shawe-Taylor (University of London), Satinder Singh (University of Colorado, Boulder), Haim Sompolinsky (Hebrew University), Volodya Vovk (Royal Holloway, University of London). CONFERENCE AND LOCAL ARRANGEMENTS CHAIR: Vijay Raghavan (Vanderbilt University). STUDENT TRAVEL: We anticipate some funds will be available to partially support travel by student authors. Details will be distributed as they become available. TUTORIALS: The program will include a half day of tutorials, jointly organized by COLT and ICML, and intended as introductions to topics in the theory and practice of machine learning. For further information, or to submit a proposal for a tutorial, contact Sally Goldman, the tutorials chair, at sg@cs.wustl.edu or visit our web page. FOR MORE INFORMATION: Visit the ICML/COLT'97 web page at http://cswww.vuse.vanderbilt.edu/~mlccolt/, or send email to colt97@research.att.com. This call for papers is available in html and other formats from http://www.research.att.com/~yoav/colt97/cfp.html