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PRODID:-//Cornell U. Department of Computer Science//Brown Bag Seminar//EN
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SUMMARY:Brown bag: Nika Haghtalab
DESCRIPTION:Title: Foundations of Machine learning by the people\, for
	 the people\nSpeaker: Nika Haghtalab\nAbstract: Typical analysis of
	 learning algorithms considers their outcome in isolation from the
	 effects that they may have on the process that generates the data or the
	 entity that is interested in learning. However\, current technological
	 trends mean that people and organizations increasingly interact with
	 learning systems\, making it necessary to consider these effects\, which
	 fundamentally change the nature of learning and the challenges involved.
	 In this talk\, I will explore two three lines of research from my work
	 on the theoretical aspects of machine learning and algorithmic economics
	 that account for these interactions: learning optimal policies in
	 game-theoretic settings\, without an accurate behavioral model\, by
	 interacting with people; managing people's expertise and resources in
	 data-collection and machine learning; and broader societal impacts of
	 learning.
LOCATION:Gates 122
UID:2019-09-24
STATUS:TENTATIVE
DTSTART:20190924T160000Z
DTEND:20190924T170000Z
LAST-MODIFIED:20190922T051330Z
ORGANIZER;CN=Jonathan Shi:http://www.cs.cornell.edu/~jshi/brownbag/
DTSTAMP:20260408T170449Z
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