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:6832ebf469cc2 DTSTART;TZID=America/Toronto:20220427T130000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20220427T130000 URL:/computer-science/events/seminar-algorithms-complex ity-worst-case-to-average-case-reductions-via-additive-combinatorics SUMMARY:Seminar • Algorithms and Complexity • Worst-Case to Average-Cas e\nReductions via Additive Combinatorics CLASS:PUBLIC DESCRIPTION:Summary \n\nPLEASE NOTE: THIS SEMINAR WILL BE GIVEN ONLINE.\n\n VAHID ASADI\, PHD CANDIDATE\n_David R. Cheriton School of Computer Science _\n\nWe present a new framework for designing worst-case to average-case\n reductions. For a large class of problems\, it provides an explicit\ntrans formation of algorithms running in time T that are only correct\non a smal l (subconstant) fraction of their inputs into algorithms\nrunning in time O(T \\log T) that are correct on all inputs.\n DTSTAMP:20250525T100748Z END:VEVENT END:VCALENDAR