The deadline for the Bayesian optimization, experimental design and bandits: Theory and applications Workshop at NIPS 2011 has been extended.
The new submission deadline for papers is 23:59 EST on Friday, October 21, 2011. ---------------------------------------------------------------- CALL FOR CONTRIBUTIONS NIPS workshop on Bayesian optimization, experimental design and bandits: Theory and applications Sierra Nevada, Spain, December 16 or 17, 2011 web: http://www.cs.ubc.ca/~hutter/nips2011workshop/index.html ---------------------------------------------------------------- Important Dates: ---------------- * Submission deadline: October 21 * Notification of acceptance: November 11 * Final versions of accepted papers due: December 9 * Workshop date: December 16 or 17, 2011 Overview: --------- Recently, we have witnessed many important advances in learning approaches for sequential decision making. These advances have occurred in different communities, who refer to the problem using different terminology: Bayesian optimization, experimental design, bandits (x-armed bandits, contextual bandits, Gaussian process bandits), active sensing, personalized recommender systems, automatic algorithm configuration, reinforcement learning and so on. These communities tend to use different methodologies too. Some focus more on practical performance while others are more concerned with theoretical aspects of the problem. As a result, they have derived and engineered a diverse range of methods for trading off exploration and exploitation in learning, For these reasons, it is timely and important to bring these communities together to identify differences and commonalities, to propose common benchmarks, to review the many practical applications (interactive user interfaces, automatic tuning of parameters and architectures, robotics, recommender systems, active vision, and more), to narrow the gap between theory and practice and to identify strategies for attacking high-dimensionality. Invited speakers (confirmed): ----------------------------- * Andreas Krause, ETH Zurich and Caltech * Csaba Szepesvari, University of Alberta * Remi Munos, INRIA Lille - Nord Europe * Louis Dorard, University College London Topics of interest: ------------------------ * Bayesian optimization * Sequential experimental design * Bandits * Exploration-exploitation trade-off We welcome contributions on theoretical models, empirical studies, and applications of the above. The list is not exhaustive, and we also welcome submissions on highly related topics. Submission instructions: ------------------------ Submissions must be in the NIPS 2011 format, but with a maximum of 4 pages (excluding references). Accepted papers will be made available online at the workshop website but the workshop proceedings can be considered non-archival. Paper submissions should be sent by email in PDF or PS file format to [email protected] with a subject line of "NIPS-BayesOpt 2011: XXX", where "XXX" is the title of the submission. Organizers: ----------- * Nando de Freitas, Professor of Machine Learning, University of British Columbia * Roman Garnett, Postdoctoral Researcher, Carnegie Mellon University * Frank Hutter, Postdoctoral Researcher, University of British Columbia * Michael A Osborne, Postdoctoral Researcher, University of Oxford Contact: -------- mailto: [email protected] _______________________________________________ uai mailing list [email protected] https://secure.engr.oregonstate.edu/mailman/listinfo/uai
