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BEGIN:VEVENT
SUMMARY:CIS - Colloquium -  by Prof. Susan Murphy
DTSTART:20211213T151500
DTEND:20211213T161500
DTSTAMP:20260407T195005Z
UID:448594a27e4ab391306c66a4c9234a16a6126ca3de5898b29e8fc541
CATEGORIES:Conferences - Seminars
DESCRIPTION:  Prof Susan Murphy\nTitle: We used Reinforcement Learning\; 
 but did it work?\n\nAbstract: Reinforcement Learning provides an attractiv
 e suite of online learning methods for personalizing interventions  in a 
 Digital Health.  However after an reinforcement learning algorithm has
  been run in a clinical study\, how do we assess whether personalization o
 ccurred? We might find users for whom it appears that the algorithm has in
 deed learned in which contexts the user is more responsive to a particular
  intervention. But could this have happened completely by chance? We discu
 ss some first approaches to addressing these questions.  \n\nBio: Susan 
 A. Murphy\, Professor of Statistics\, Professor of Computer Science at t
 he Harvard John A. Paulson School of Engineering and Applied Sciences and 
 Radcliffe Alumnae Professor at the Radcliffe Institute\, Harvard Universit
 y.\nSusan Murphy’s research focuses on improving sequential\, individual
 ized\, decision making in health\, in particular\, clinical trial design a
 nd data analysis to inform the development of just-in-time adaptive interv
 entions in digital health. She developed the micro-randomized trial for us
 e in constructing digital health interventions\; this trial design is in u
 se across a broad range of health-related areas. Her lab works on online l
 earning algorithms for developing personalized digital health intervention
 s.  Dr. Murphy is a member of the National Academy of Sciences and of the
  National Academy of Medicine\, both of the US National Academies.  In 20
 13 she was awarded a MacArthur Fellowship for her work on experimental des
 igns to inform sequential decision making.  She is a Past-President of IM
 S and of the Bernoulli Society and a former editor of the Annals of Statis
 tics. \n\n\nThe Center for Intelligent Systems at EPFL (CIS) is a collabo
 ration among IC\, ENAC\, SB\; SV and STI that brings together researchers 
 working on different aspects of Intelligent Systems. In June 2020\, CIS ha
 s launched its CIS Colloquia featuring invited notable speakers.\nMore inf
 o\n 
LOCATION:Zoom https://epfl.zoom.us/meeting/register/u5Yvdeqprz0sG9Pz5VbFs9
 Fpvwg7jeSlYuPS https://epfl.zoom.us/meeting/register/u5Yvdeqprz0sG9Pz5VbFs
 9Fpvwg7jeSlYuPS
STATUS:CONFIRMED
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