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SUMMARY:Michaël Fanuel (KU Leuven\, BE)
DTSTART:20200504T130000Z
DTEND:20200504T134500Z
DTSTAMP:20260423T024535Z
UID:OWMADS/8
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OWMADS/8/">D
 iversity sampling in kernel method</a>\nby Michaël Fanuel (KU Leuven\, BE
 ) as part of One World seminar: Mathematical Methods for Arbitrary Data So
 urces (MADS)\n\n\nAbstract\nA well-known technique for large scale kernel 
 methods is the Nyström approximation. Based on a subset of landmarks\, it
  gives a low rank approximation of the kernel matrix\, and is known to pro
 vide a form of implicit regularization. We will discuss the impact of samp
 ling diverse landmarks for constructing the Nyström approximation in supe
 rvised and unsupervised problems. In particular\, three methods will be co
 nsidered: uniform sampling\, leverage score sampling and Determinantal Poi
 nt Processes (DPP). The implicit regularization due the diversity of the l
 andmarks will be made explicit by numerical simulations and analysed furth
 er in the case of DPP sampling by some theoretical results.\n
LOCATION:https://researchseminars.org/talk/OWMADS/8/
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