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SUMMARY:CIS - Colloquium -  by Prof. Philippe Rigollet\, Professor of Math
 ematics at MIT
DTSTART:20220404T151500
DTEND:20220404T161500
DTSTAMP:20260508T083554Z
UID:674b4e86de53ffc0f0934f5a95b2a83e3c0611460189c54b6ed39267
CATEGORIES:Conferences - Seminars
DESCRIPTION:  Prof. Philippe Rigollet\nTitle: Optimal Transport for Stati
 stics and Machine Learning\n\nAbstract: Since its introduction more than t
 wo centuries ago\, optimal transport has flourished into a rich mathematic
 al field allowing us to draw new connections between analysis\, geometry\,
  and probability. Recently\, thanks to breakneck advances on the computati
 onal front\, optimal transport has enabled the development of new tools fo
 r data analysis\, finding applications in a variety of fields ranging from
  graphics to biology. Underlying these tools is a new machine learning par
 adigm where the goal is integrate multiple data sources. This talk will il
 lustrate this new paradigm in light of several applications and discuss so
 me of the statistical challenges associated with it.\n\nBio: Philippe Rigo
 llet is a Professor of Mathematics at MIT\, where he is also a member of t
 he Statistics and Data Science Center\, a Principal Investigator at the La
 boratory for Information and Decision Systems. He is also an affiliate mem
 ber of the Broad Institute. He was previously an Assistant Professor at Pr
 inceton and a Postdoc at Georgia Tech. He is currently on leave from MIT a
 nd holds a Chair from the Fondation des Sciences Mathématiques de Paris.\
 nPhilippe’s academic interests are on the mathematical aspects of data a
 nd his work aims at designing methods to process complex data using geomet
 ric ideas. His contributions have been recognized by a CAREER award from t
 he National Science Foundation\, a Best Paper Award at the Conference on L
 earning Theory\, and a Medallion Lecture at the Joint Statistical Meetings
 . He is an elected Fellow of the Institute for Mathematical Statistics.\n\
 nThe CIS Colloquia will take place in hybrid mode: Room TBA and by Zoom :\
 nRegister in advance for this meeting: https://epfl.zoom.us/meeting/regist
 er/u5AtcuiqpjIvG9eCODN_OkZi37Iuyy1WczLQ \n\nThe Center for Intelligent Sys
 tems at EPFL (CIS) is a collaboration among IC\, ENAC\, SB\; SV and STI th
 at brings together researchers working on different aspects of Intelligent
  Systems. In June 2020\, CIS has launched its CIS Colloquia featuring invi
 ted notable speakers.\nMore info\n 
LOCATION:BM 5202 https://plan.epfl.ch/?room==BM%205202 https://epfl.zoom.u
 s/meeting/register/u5AtcuiqpjIvG9eCODN_OkZi37Iuyy1WczLQ
STATUS:CONFIRMED
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