[AI Seminar] AI Seminar sponsored by Apple -- Nika Haghtalab -- Jan 23

[Adams Wei Yu]

Dear faculty and students,

We look forward to seeing you next Tuesday, Jan 23, at noon in GHC 6115 for
AI Seminar sponsored by Apple. To learn more about the seminar series,
please visit the AI Seminar webpage <http://www.cs.cmu.edu/~aiseminar/>.

On Tuesday, Nika Haghtalab <https://www.cs.cmu.edu/~nhaghtal/> will give
the following talk:

Title: Machine learning by the people, for the people

Abstract:

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 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 collaborative learning in a
setting where multiple learners interact with each other to discover
similar underlying concepts.

Bio:
Nika Haghtalab is a Ph.D. candidate at the Computer Science Department of
Carnegie Mellon University, co-advised by Avrim Blum and Ariel Procaccia.
Her research interests include learning theory and algorithmic economics.
She is a recipient of the IBM and Microsoft Research Ph.D. fellowships and
the Siebel Scholarship.
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