BEGIN:VCALENDAR VERSION:2.0 PRODID:-//https://caida.ubc.ca//NONSGML iCalcreator 2.41.92// CALSCALE:GREGORIAN METHOD:PUBLISH UID:34396638-3833-4963-a539-353833333631 X-WR-RELCALID:efc09d74-9c93-479e-a94f-485231ddccde X-WR-TIMEZONE:America/Vancouver X-WR-CALNAME:CVL Talk: Rethinking classical optimization in Graphics - Mich ael Fischer\, UCL BEGIN:VTIMEZONE TZID:America/Vancouver TZUNTIL:20250309T100000Z BEGIN:STANDARD TZNAME:PST DTSTART:20221106T020000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RDATE:20231105T020000 RDATE:20241103T020000 END:STANDARD BEGIN:DAYLIGHT TZNAME:PDT DTSTART:20230312T020000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RDATE:20240310T020000 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:2ce44187-bee9-441f-99c6-cd43b9be1e3a DTSTAMP:20260223T042000Z CLASS:PUBLIC CREATED:20230614T222341Z DESCRIPTION:Abstract: Gradient-based optimization has become the de-facto s tandard for optimization in the Graphics community. However\, it is rarely questioned whether we can do “better” than simple gradient descent (GD) - in fact\, it is easy to construct examples where GD is easily outperforme d by other methods. This talk will explore two such scenarios: Firstly\, w e will use meta-learning to optimize over GD itself\, leading to improved convergence and insights for data sampling in appearance reproduction scen arios. Secondly\, we will replace the traditional (and sometimes uninforma tive and brittle)… DTSTART;TZID=America/Vancouver:20230616T110000 DTEND;TZID=America/Vancouver:20230616T120000 LAST-MODIFIED:20230615T174633Z LOCATION:UBC Vancouver Campus\, ICCS X836 SUMMARY:CVL Talk: Rethinking classical optimization in Graphics - Michael F ischer\, UCL TRANSP:OPAQUE URL:https://caida.ubc.ca/index.php/event/cvl-talk-rethinking-classical-opti mization-graphics-michael-fischer-ucl END:VEVENT END:VCALENDAR