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:20240310T070000 END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:20231105T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:68a8d8c56c1cb DTSTART;TZID=America/Toronto:20240517T153000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20240517T163000 URL:/combinatorics-and-optimization/events/distinguishe d-tutte-lecture-katya-scheinberg SUMMARY:Distinguished Tutte Lecture - Katya Scheinberg CLASS:PUBLIC DESCRIPTION:Summary \n\nTITLE: Stochastic  Oracles and Where to Find Them \n\nSPEAKER:\n Katya Scheinberg\n\nAFFILIATION:\n Cornell University\n\nLO CATION:\n MC 5501\n\nABSTRACT: Continuous optimization is a mature field\ , which has\nrecently undergone major expansion and change. One of the key new\ndirections is the development of methods that do not require exact\n information about the objective function. Nevertheless\, the majority\nof these methods\, from stochastic gradient descent to \"zero-th order\"\nmet hods use some kind of approximate first order information. We will\novervi ew different methods of obtaining this information\, including\nsimple sto chastic gradient via sampling\, robust gradient estimation in\nadversarial settings\, traditional and randomized finite difference\nmethods and more . \n\nWe will discuss what key properties of these inexact\, stochastic fi rst\norder oracles are useful for convergence analysis of optimization\nme thods that use them. \n DTSTAMP:20250822T205325Z END:VEVENT END:VCALENDAR