UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at http://www.ucl.ac.uk/finance/research/post_award/post_award_contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
Tighter PAC-Bayes bounds through distribution-dependent priors
Abstract
We further develop the idea that the PAC-Bayes prior can be informed by the data-generating distribution. We use this framework to prove sharp risk bounds for stochastic exponential weights algorithms, and develop insights into controlling function class complexity in this method. In particular we consider controlling capacity with respect to the unknown geometry defined by the data-generating distribution. We also use the method to obtain new bounds for RKHS regularization schemes such as SVMs. © 2012 Elsevier B.V. All rights reserved.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers
Author
Dept of Computer Science
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by