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DTSTART:20230326T030000
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DTSTAMP:20260424T143110Z
UID:63f8a9da138b8636209863@ist.ac.at
DTSTART:20230607T160000
DTEND:20230607T170000
DESCRIPTION:Speaker: Viacheslav Borovitskiy\nhosted by Christoph Lampert\nA
 bstract: Gaussian processes (GPs) are often considered to be the gold stan
 dard in settings where well-calibrated predictive uncertainty is of utter 
 importance\, such as decision making.It is important for applications to h
 ave a class of general purpose GPs. Traditionally\, these are the stationa
 ry processes\, e.g. RBF or Matrn GPs\, at least for the usual vectorial in
 puts. For non-vectorial inputs\, however\, there is often no such class. T
 his state of affairs hinders the use of GPs in a number of application are
 as ranging from robotics to drug design.In this talk\, I will consider GPs
  taking inputs on a manifold\, on a node set of a graph\, or in a discrete
  space of graphs. I will discuss a framework for defining the appropriate 
 general purpose GPs\, as well as the analytic and numerical techniques tha
 t make them tractable.
LOCATION:Heinzel Seminar Room / Office Bldg West (I21.EG.101)\, ISTA
ORGANIZER:kharppre@ist.ac.at
SUMMARY:Viacheslav Borovitskiy: ELLIS Talk: Geometric Gaussian Processes
URL:https://talks-calendar.ista.ac.at/events/4033
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