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DTSTART:20251102T020000
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UID:calendar.3858.events_uoft_date.0@www.statistics.utoronto.ca
CREATED:20250925T175711Z
DESCRIPTION:\nWhen and Where: \nThursday, October 16, 2025 11:00 am to 1:
 00 pm \n 9014 \n 9th Floor, 700 University Ave, Toronto, Ontario, M5G 
 1Z5 \n\nSpeakers \nBodhisattva Sen, Columbia University \n\nDescription: 
 \n Constrained Denoising, Empirical Bayes, and Optimal TransportIn the s
 tatistical problem of denoising, Bayes and empirical Bayes methods can 'o
 vershrink' their output relative to the latent variables of interest. This
  work is focused on constrained denoising problems which mitigate such phe
 nomena. At the oracle level, i.e., when the latent variable distribution
  is assumed known, we apply tools from the theory of optimal transport to
  characterize the solution to (i) variance-constrained, (ii) distribution
 -constrained, and (iii) general-constrained denoising problems. At the em
 pirical level, i.e., when the latent variable distribution is not known\
 , we use empirical Bayes methodology to estimate these oracle denoisers. O
 ur approach is modular, and transforms any suitable (unconstrained) empir
 ical Bayes denoiser into a constrained empirical Bayes denoiser. We prove 
 explicit rates of convergence for our proposed methodologies, which both 
 extend and sharpen existing asymptotic results that have previously consid
 ered only variance constraints. This is joint work with Adam Jaffe and Nik
 os Ignatiadis.BIO: Bodhi Sen is Professor and Chair of Statistics at Colum
 bia University, New York. He completed his Ph.D in Statistics from Univer
 sity of Michigan, A\n Arbor, in 2008. Prior to that, he was a student a
 t the Indian Statistical Institute, Kolkata, where he received his Bache
 lors (2002) and Masters (2004) in Statistics. His core statistical researc
 h centers around nonparametrics --- function estimation (with special emph
 asis on shape constrained estimation), theory of optimal transport and it
 s applications to statistics, empirical Bayes procedures, kernel methods
 , likelihood and bootstrap based inference, etc. He is also interested i
 n interdisciplinary research, especially in astronomy. His honors include
  the NSF CAREER award (2012), and the Young Statistical Scientist Award (
 YSSA) in the Theory and Methods category from the International Indian Sta
 tistical Association (IISA). He is an elected fellow of the Institute of M
 athematical Statistics (IMS) and will deliver an IMS medallion lecture in 
 2026. \n9th Floor, 700 University Ave, Toronto, Ontario, M5G 1Z5 \n\nC
 ategories \n Statistics Colloquium \n\nAudiences \n Alumni and FriendsFacu
 ltyGraduate StudentsPostdoctoral Fellows
DTSTART;TZID=America/New_York:20251016T110000
DTEND;TZID=America/New_York:20251016T130000
LAST-MODIFIED:20250925T175711Z
LOCATION:9th Floor, 700 University Ave, Toronto, Ontario, M5G 1Z5
SUMMARY:Bodhisattva Sen: Constrained Denoising, Empirical Bayes, and Opti
 mal Transport
URL;TYPE=URI:https://www.statistics.utoronto.ca/events/bodhisattva-sen-cons
 trained-denoising-empirical-bayes-and-optimal-transport-0
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