BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Dr. Yurii Malitskyi (Assistant Professor) (Faculty of Mathematics\ , University of Vienna\, Austria) DTSTART:20260520T140000Z DTEND:20260520T150000Z DTSTAMP:20260526T125837Z UID:AMIS/7 DESCRIPTION:Title: Imp licit bias in optimization algorithms\nby Dr. Yurii Malitskyi (Assista nt Professor) (Faculty of Mathematics\, University of Vienna\, Austria) as part of Asymptotic Methods in Statistics\n\n\nAbstract\nIn this talk\, we will explore the role of implicit bias in optimization algorithms. Implic it bias refers to the tendency of an algorithm to converge to a specific s olution even in the absence of an explicit regularization term in its form ulation. In other words\, implicit bias emerges from how the algorithm its elf interacts with the objective function it’s trying to minimize. We wi ll demonstrate this concept through a few surprising applications.\n\nAbst ract. In this talk\, we will explore the role of implicit bias in optimiz ation algorithms. Implicit bias refers to the tendency of an algorithm to converge to a specific solution even in the absence of an explicit regular ization term in its formulation. In other words\, implicit bias emerges fr om how the algorithm itself interacts with the objective function it’s t rying to minimize. We will demonstrate this concept through a few surprisi ng applications.\n LOCATION:https://researchseminars.org/talk/AMIS/7/ END:VEVENT END:VCALENDAR