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[nl-uiuc] Reminder: AIIS talk bu Prof. Thorsten Joachims


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  • From: "Samdani, Rajhans" <rsamdan2 AT illinois.edu>
  • To: "aiis AT cs.uiuc.edu" <aiis AT cs.uiuc.edu>, "aivr AT cs.uiuc.edu" <aivr AT cs.uiuc.edu>, "vision AT cs.uiuc.edu" <vision AT cs.uiuc.edu>, "eyal AT cs.uiuc.edu" <eyal AT cs.uiuc.edu>, "aistudents AT cs.uiuc.edu" <aistudents AT cs.uiuc.edu>, "Girju, Corina R" <girju AT illinois.edu>, "Blake, Catherine" <clblake AT illinois.edu>, nl-uiuc <nl-uiuc AT cs.uiuc.edu>, "Efron, Miles James" <mefron AT illinois.edu>
  • Subject: [nl-uiuc] Reminder: AIIS talk bu Prof. Thorsten Joachims
  • Date: Mon, 19 Aug 2013 13:29:40 +0000
  • Accept-language: en-US
  • List-archive: <http://lists.cs.uiuc.edu/pipermail/nl-uiuc/>
  • List-id: Natural language research announcements <nl-uiuc.cs.uiuc.edu>

Dear all,

This is a gentle reminder for today's AIIS talk by Prof. Thorsten Joachims
(www.cs.cornell.edu/people/tj/).
Details of the talk:

When: Monday, August 19, 2 pm (Note the difference from the usual AIIS
Fridays)

Where: 3405 Siebel Center


Title: Learning with Humans in the Loop


Abstract:
Machine Learning is increasingly becoming a technology that directly
interacts with human users. Search engines, recommender systems, and
electronic commerce already heavily rely on adapting the user experience
through machine learning, and other applications are likely to follow in the
near future (e.g., autonomous robotics, smart homes, gaming). In this talk, I
argue that learning with humans in the loop requires learning algorithms that
explicitly account for human behavior, their motivations, and their judgment
of performance. Towards this goal, the talk explores how integrating
microeconomic models of human behavior into the learning process leads to new
learning models that no longer reduce the user to a "labeling subroutine".
This motivates an interesting area for theoretical, algorithmic, and applied
machine learning research with connections to rational choice theory,
econometrics, and behavioral economics.


Bio:
Thorsten Joachims is a Professor of Computer Science at Cornell University.
His research interests center on a synthesis of theory and system building in
machine learning, with applications in language technology, information
retrieval, and recommendation. His past research focused on support vector
machines, text classification, structured output prediction, convex
optimization, learning to rank, learning with preferences, and learning from
implicit feedback. In 2001, he finished his dissertation advised by Prof.
Katharina Morik at the University of Dortmund. From there he also received
his Diploma in Computer Science in 1997. Between 2000 and 2001 he worked as a
PostDoc at the GMD Institute for Autonomous Intelligent Systems. From 1994 to
1996 he was a visiting scholar with Prof. Tom Mitchell at Carnegie Mellon
University.

Hope to see you all there.
Best,
Rajhans




  • [nl-uiuc] Reminder: AIIS talk bu Prof. Thorsten Joachims, Samdani, Rajhans, 08/19/2013

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