BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CREST - ECPv5.1.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:CREST
X-ORIGINAL-URL:https://crest.science
X-WR-CALDESC:Events for CREST
BEGIN:VTIMEZONE
TZID:Europe/Helsinki
BEGIN:DAYLIGHT
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
DTSTART:20220327T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:EET
DTSTART:20221030T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20220926T154500
DTEND;TZID=Europe/Helsinki:20220926T170000
DTSTAMP:20260711T133113
CREATED:20220919T122707Z
LAST-MODIFIED:20220920T034105Z
UID:14082-1664207100-1664211600@crest.science
SUMMARY:Eddie Aamari  (Sorbonne University) "Statistical Query Complexity of Manifold Estimation"
DESCRIPTION:Statistical Seminar: Every Monday.\nTime: 3:45 pm – 5:00 pm\nDate: 26 of September 2022\nPlace: Amphi 200 \nEddie Aamari (Sorbonne University) “Statistical Query Complexity of Manifold Estimation” \nAbstract: In this talk\, we study the multi-task learning problem that aims to simultaneously analyze multiple datasets collected from different sources and learn one model for each of them. We propose a family of adaptive methods that automatically utilize possible similarities among those tasks while carefully handling their differences. We derive sharp statistical guarantees for the methods and prove their robustness against outlier tasks. Numerical experiments on synthetic and real datasets demonstrate the efficacy of our new methods. \n  \nOrganizers:\nCristina BUTUCEA (CREST)\, Alexandre TSYBAKOV (CREST)\, Karim LOUNICI (CMAP) \, Jaouad MOURTADA (CREST)\nSponsors:\nCREST-CMAP \n
URL:https://crest.science/event/eddie-aamari-lpsm-statistical-query-complexity-of-manifold-estimation-2/
CATEGORIES:Statistics
ATTACH;FMTTYPE=:
END:VEVENT
END:VCALENDAR