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:20170312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20161106T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:69c23343ebc12
DTSTART;TZID=America/Toronto:20170712T120000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20170712T120000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/phd-seminar-s
 ample-efficient-learning-mixtures
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 3317 Waterloo ON N2L 3G1 Canada
SUMMARY:PhD Seminar: Sample-efficient Learning of Mixtures
CLASS:PUBLIC
DESCRIPTION:Speaker: Hassan Ashtiani\, PhD Candidate\n\nWe consider PAC lea
 rning of probability distributions (a.k.a. density\nestimation)\, where we
  are given an i.i.d. sample generated from an\nunknown target distribution
 \, and want to output a distribution that is\nclose to the target in total
  variation distance.
DTSTAMP:20260324T064627Z
END:VEVENT
END:VCALENDAR