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UID:956@fds.yale.edu
DTSTART;TZID=America/New_York:20260916T113000
DTEND;TZID=America/New_York:20260916T130000
DTSTAMP:20260824T175731Z
URL:https://fds.yale.edu/events/fds-colloquium-john-duchi-stanford/
SUMMARY:FDS Colloquium: John Duchi (Stanford)
DESCRIPTION:\n\n\nSpeaker bio: John Duchi is an associate professor of Stat
 istics and Electrical Engineering at Stanford University. His work spans s
 tatistical learning\, optimization\, information theory\, and computation\
 , with a few driving goals. (1) To discover statistical learning procedure
 s that optimally trade between real-world resources — computation\, 
 communication\, privacy provided to study participants — while maint
 aining statistical efficiency. (2) To build efficient large-scale optimiza
 tion methods that address the spectrum of optimization\, machine learning\
 , and data analysis problems we face\, allowing us to move beyond bespoke 
 solutions to methods that robustly work. (3) To develop tools to assess an
 d guarantee the validity of — and confidence we should have in —
  machine-learned systems.\n\n\n\nHe has won several awards and fellowshi
 ps. His paper awards include the SIAM SIGEST award for “an outstanding p
 aper of general interest” and best papers at the Neural Information Proc
 essing Systems conference\, the International Conference on Machine Learni
 ng\, the International Conference on Learning Theory\, and an INFORMS Appl
 ied Probability Society Best Student Paper Award (as advisor). He has also
  received the Society for Industrial and Applied Mathematics (SIAM) Early 
 Career Prize in Optimization\, an Office of Naval Research (ONR) Young Inv
 estigator Award\, an NSF CAREER award\, a Sloan Fellowship in Mathematics\
 , the Okawa Foundation Award\, the Association for Computing Machinery (AC
 M) Doctoral Dissertation Award (honorable mention)\, and U.C. Berkeley's C
 .V. Ramamoorthy Distinguished Research Award.\n\n\n\nHe has graduated doze
 ns of PhD students who have gone to careers in academia (Columbia Universi
 ty\, ETH Zurich\, Northwestern University\, Stanford University\, Tel Aviv
  University\, University of Illnois)\, technology (e.g.\, Amazon\, Apple\,
  Google\, Safe Super Intelligence)\, and finance.\n\n\n\nFaculty host: Ili
 as Zadik\n
CATEGORIES:Fellows Events,FDS Events,Colloquium
LOCATION:Yale Institute for Foundations of Data Science\, Kline Tower 13th 
 Floor\, Room 1327\, New Haven\, CT\, 06511\, United States
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