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
Distinguishing distributions with interpretable features
  • Publication Type:
  • Authors:
    Jitkrittum W, Szabo Z, Chwialkowski K, Gretton A
  • Publication date:
  • Name of conference:
    International Conference on Machine Learning (ICML): Data-Efficient Machine Learning workshop
  • Conference place:
    New York, U.S.
  • Conference start date:
  • Conference finish date:
  • Notes:
    paper: http://www.gatsby.ucl.ac.uk/~szabo/publications/jitkrittum16distinguishing.pdf poster: http://www.gatsby.ucl.ac.uk/~szabo/publications/jitkrittum16distinguishing_poster.pdf
Two semimetrics on probability distributions are proposed, based on a difference between features chosen from each, where these features can be in either the spatial or Fourier domains. The features are chosen so as to maximize the distinguishability of the distributions, by optimizing a lower bound of power for a statistical test using these features. The result is a parsimonious and interpretable indication of how and where two distributions differ, which can be used even in high dimensions, and when the difference is localized in the Fourier domain. A real-world benchmark image data demonstrates that the returned features provide a meaningful and informative indication as to how the distributions differ.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers
Gatsby Computational Neurosci Unit
Dept of Computer Science
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by