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 https://www.ucl.ac.uk/finance/research/rs-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
Spread divergence
  • Publication Type:
    Conference
  • Authors:
    Zhang M, Hayes P, Bird T, Habib R, Barber D
  • Publication date:
    01/01/2020
  • Pagination:
    11040, 11050
  • Published proceedings:
    37th International Conference on Machine Learning, ICML 2020
  • Volume:
    PartF168147-15
  • ISBN-13:
    9781713821120
  • Status:
    Published
Abstract
For distributions P and Q with different supports or undefined densities, the divergence D(PjjQ) may not exist. We define a Spread Divergence D(PjjQ) on modified P and Q and describe sufficient conditions for the existence of such a divergence. We demonstrate how to maximize the discriminatory power of a given divergence by parameterizing and learning the spread. We also give examples of using a Spread Divergence to train implicit generative models, including linear models (Independent Components Analysis) and non-linear models (Deep Generative Networks).
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