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UID:905@fds.yale.edu
DTSTART;TZID=America/New_York:20260114T113000
DTEND;TZID=America/New_York:20260114T130000
DTSTAMP:20260106T202301Z
URL:https://fds.yale.edu/events/fds-colloquium-cynthia-rudin-duke/
SUMMARY:FDS Colloquium: Cynthia Rudin (Duke)\, "Many Good Models Leads To
 …"
DESCRIPTION:\nAbstract: As it turns out\, many good models leads to amazing
  things! The Rashomon Effect\, coined by Leo Breiman\, describes the pheno
 menon that there exist many equally good predictive models for the same da
 taset. This phenomenon happens for many real datasets and when it does\, i
 t sparks both magic and consternation\, but mostly magic. In light of the 
 Rashomon Effect\, my collaborators and I propose to reshape the way we thi
 nk about machine learning\, particularly for tabular data problems in the 
 nondeterministic (noisy) setting. I'll address how the Rashomon Effect imp
 acts (1) the existence of simple-yet-accurate models\, (2) flexibility to 
 address user preferences\, such as fairness and monotonicity\, without los
 ing performance\, (3) uncertainty in predictions\, fairness\, and explanat
 ions\, (4) reliable variable importance\, (5) algorithm choice\, specifica
 lly\, providing advanced knowledge of which algorithms might be suitable f
 or a given problem\, and (6) public policy. I'll also discuss a theory of 
 when the Rashomon Effect occurs and why: interestingly\, noise in data lea
 ds to a large Rashomon Effect. My goal is to illustrate how the Rashomon E
 ffect can have a massive impact on the use of machine learning for complex
  problems in society.\n\n\n\nSpeaker Bio: Cynthia Rudin is the Gilbert\,
  Louis\, and Edward Lehrman Distinguished Professor in Computer Science an
 d Electrical and Computer Engineering at Duke University. She works in int
 erpretable machine learning\, and aims to design predictive models that pe
 ople can understand. She is the recipient of the IJCAI-25 John McCarthy Aw
 ard\, the 2024 INFORMS Society on Data Mining Prize\, the 2022 AAAI Squirr
 el AI Award for Artificial Intelligence for the Benefit of Humanity\, the 
 INFORMS Innovative Applications in Analytics Award\, and is a 2022 Guggenh
 eim Fellow.\n\n\n\n\n
CATEGORIES:Fellows Events,FDS Events,Colloquium
LOCATION:Yale Institute for Foundations of Data Science & Webcast\, 219 Pro
 spect Street\, 13th Floor\, New Haven\, CT\, 06511\, United States
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=219 Prospect Street\, 13th 
 Floor\, New Haven\, CT\, 06511\, United States;X-APPLE-RADIUS=100;X-TITLE=
 Yale Institute for Foundations of Data Science & Webcast:geo:0,0
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