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X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
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TZID:Europe/Paris
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DTSTART:20241027T030000
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DTSTART:20250330T020000
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UID:calendar.28655.field_data.0@www.ugovricerca.uniroma1.it
DTSTAMP:20260404T182617Z
CREATED:20250218T102044Z
DESCRIPTION:AbstractDecision-making under uncertainty is a fundamental chal
 lenge in operations research\, particularly in data-driven optimization. C
 lassical optimization techniques assume a well-defined optimization proble
 m\, yet in many real-world scenarios\, decision-makers face ambiguity not 
 only in constraints and parameters but also in the very definition of what
  should be optimized. This talk explores the problem of contextual decisio
 n-making in uncertain environments\, where decisions must adapt to hidden 
 objectives\, implicit preferences\, or dynamically changing conditions tha
 t can be modeled depending on contextual information surrounding the probl
 em. We will discuss methodologies that integrate data-driven learning with
  optimization\, from predictive modeling to inverse optimization.Nuria is 
 a PhD Student at Department of Statistics and Operations Research\, Facult
 y of Mathematics\, University of Seville (IMUS) visiting the department un
 til March 14th.
DTSTART;TZID=Europe/Paris:20250304T143000
DTEND;TZID=Europe/Paris:20250304T143000
LAST-MODIFIED:20250218T122142Z
LOCATION:Room A3 DIAG
SUMMARY:Nuria Gómez Vargas - I want to optimize but I don’t know what: Cont
 extual Decision Making in Uncertain Scenarios  - Nuria Gómez Vargas
URL;TYPE=URI:http://www.ugovricerca.uniroma1.it/node/28655
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