BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250623T022857EDT-6274KHU9sb@132.216.98.100 DTSTAMP:20250623T062857Z DESCRIPTION:Title: Off-the-grid sparse estimation\n\nAbstract:\n The behavio ur of sparse regularization using the Lasso method is well understood when dealing with discretized linear models. However\, the behaviour of Lasso is poor when dealing with models with very large parameter spaces and in r ecent years\, there has been much interest in the use of 'off-the-grid' ap proaches\, using a continuous parameter space in conjunction with convex o ptimization problem over measures. In my talk\, I will present some recent results which explain the behaviour of this method in arbitrary dimension s. Some highlights include the use of the Fisher metric to study the perfo rmance of Blasso over general domains and the application of this for quan titative MRI.\n\nFor Zoom information please contact tim.hoheisel [at] mcg ill.ca\n DTSTART:20210315T200000Z DTEND:20210315T210000Z SUMMARY:Clarice Poon (University of Bath) URL:/mathstat/channels/event/clarice-poon-university-b ath-329618 END:VEVENT END:VCALENDAR