BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Drupal iCal API//EN X-WR-CALNAME:Events items teaser X-WR-TIMEZONE:America/Toronto BEGIN:VTIMEZONE TZID:America/Toronto X-LIC-LOCATION:America/Toronto BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:20220313T070000 END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:20211107T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:6833d341617ac DTSTART;TZID=America/Toronto:20220722T130000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20220722T130000 URL:/combinatorics-and-optimization/events/combinatoria l-optimization-reading-group-matheus-ota SUMMARY:Combinatorial Optimization Reading Group - Matheus Ota CLASS:PUBLIC DESCRIPTION:Summary \n\nTITLE: Data-Driven Chance Constrained Programs over Wasserstein Balls\n\nSpeaker:\n Matheus Ota\n\nAffiliation:\n University of À¶Ý®ÊÓÆµ\n\nLocation:\n MC 6029 or contact Rian Neogi for Zoom link\n\n ABSTRACT: In many real-world applications\, precise problem data is not\na vailable to the decision maker. One way to handle this uncertainty is\nby using chance-constraints\, where the probability that at least one\nconstr aint is violated is bounded above by some parameter. However\,\nsuch an ap proach assumes that the decision maker has access to the\ntrue probability distribution which governs the data behavior.\n DTSTAMP:20250526T023441Z END:VEVENT END:VCALENDAR