SCS Recruiting Seminar: Nika Haghtalab

Event Details
  • Date/Time:
    • Thursday April 26, 2018
      10:30 am - 11:30 pm
  • Location: KACB 2443
  • Phone:
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Tess Malone, Communications Officer


Summary Sentence: Machine Learning by the People, for the People

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  • Nika Haghtalab Nika Haghtalab

TITLE: Machine Learning by the People, for the People


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.


 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.


Additional Information

In Campus Calendar

College of Computing, School of Computer Science

Invited Audience
Faculty/Staff, Public, Graduate students, Undergraduate students
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  • Created By: Tess Malone
  • Workflow Status: Published
  • Created On: Apr 20, 2018 - 2:26pm
  • Last Updated: Apr 25, 2018 - 11:36am