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DTSTAMP:20261025T042513Z
UID:4f47d4d08b13bdc7cf90c04af63842b1afee72bf
DTSTART;TZID=Europe/Oslo:20261103T131500
DTEND;TZID=Europe/Oslo:20261103T140000
LOCATION:Erling Sverdrups plass, Niels Henrik Abels hus, 8th floor
DESCRIPTION:Kamélia Daudel is an Assistant Professor in the Department Inf
 ormation Systems, Data Analytics and Operations at ESSEC Business School 
 in France. Her current research is within the field of approximate infere
 nce. She is, in particular, interested in variational inference methods w
 hich go beyond the commonly used parametric variational distribution fram
 ework and which involve flexible families of divergence measures.\n\nhttp
 s://www.mn.uio.no/math/english/research/groups/statistics-data-science/ev
 ents/seminars/fall_2026/kamelia-daudel
SUMMARY:Kamélia Daudel: Learning with importance weighted variational infe
 rence
URL:https://www.mn.uio.no/math/english/research/groups/statistics-data-sci
 ence/events/seminars/fall_2026/kamelia-daudel
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