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CALSCALE:GREGORIAN
X-WR-CALNAME:Seminar @ Cornell Tech: Florentina Bunea
X-WR-TIMEZONE:Eastern Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260710T164631Z
UID:tag:localist.com\,2008:EventInstance_38121120423404
DTSTART:20211025T143000Z
DTEND:20211025T153000Z
DESCRIPTION:"Surprises in Topic Model Estimation and New Wasserstein Docume
 nt-distance Calculations"\n\n \n\nSpeaker Bio\n\nFlorentina Bunea received
  her Ph.D. in Statistics from the University of Washington\, and is a Prof
 essor of Statistics at Cornell University\, the Ithaca Campus. She is an e
 lected IMS fellow for her foundational work in model selection and aggrega
 tion in parametric\, semi-parametric and non-parametric models.\n\nHer res
 earch interests center around statistical machine learning\, with a focus 
 on methodology and theory. Her most current works are motivated by the stu
 dy of high dimensional models with hidden low dimensional structures that 
 arise in complex applications. Examples include latent space overlapping c
 lustering\; inference\, prediction and classification in models with hidde
 n structures\; understanding prediction performance with minimum-norm inte
 rpolating predictors\; topic models. Her work on inference and prediction 
 with interpretable latent factor regression received an IMS award in 2020.
 \n\nHer research has been continuously funded by the NSF-DMS\, with confer
 ence grants awarded either by NSF or by international organizations. She h
 as served or is serving as an AE for premier journals in statistics\, incl
 uding The Annals of Statistics\, The Journal of the American Statistical A
 ssociation and The Journal of the Royal Statistical Society.
LOCATION:Cornell Tech\, Bloomberg Center\, Room 301
SUMMARY:Seminar @ Cornell Tech: Florentina Bunea
URL;VALUE=URI:https://events.cornell.edu/event/seminar_cornell_tech_florent
 ina_bunea
CATEGORIES:Seminar
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