BEGIN:VCALENDAR
PRODID:-//Grails iCalendar plugin//NONSGML Grails iCalendar plugin//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260427T135337Z
DTSTART;TZID=America/Los_Angeles:20180225T040000
DTEND;TZID=America/Los_Angeles:20180225T050000
SUMMARY:A learning-theoretic characterisation of Martin-Löf randomness
UID:20260501T063955Z-iCalPlugin-Grails@philevents-web-6b96c54f56-bljdq
TZID:America/Los_Angeles
LOCATION:100 Academy Way\, Irvine\, United States\, 92617
DESCRIPTION:<p><strong><a href="https://philosophy.stanford.edu/people/francesca-zaffora-blando">Francesca Zaffora Blando\, Stanford University</a></strong></p>\n<p>Title: A learning-theoretic characterisation of&nbsp\;Martin-L&ouml\;f&nbsp\;randomness</p>\n<p>Abstract: In this talk\, I will provide a novel characterisation of&nbsp\;Martin-L&ouml\;f&nbsp\;randomness within the learning-theoretic framework for algorithmic randomness introduced by Osherson and Weinstein [2008]. I will also highlight a connection between this learning-theoretic framework and integral tests for randomness.</p>
ORGANIZER;CN=Jeffrey Barrett;CN=Simon Huttegger;CN=Brian Skyrms:
METHOD:PUBLISH
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