[AI Seminar] ai-seminar-announce Digest, Vol 75, Issue 1

[Adams Wei Yu]

A gentle reminder that the talk will be tomorrow noon, in NSH 1507.

On Mon, Aug 28, 2017 at 9:00 AM, <ai-seminar-announce-request at cs.cmu.edu>
wrote:

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> Today's Topics:
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>    1.  AI Lunch -- Jason Hartline (Northwestern) -- August 29
>       (Adams Wei Yu)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Sun, 27 Aug 2017 15:40:54 -0700
> From: Adams Wei Yu <weiyu at cs.cmu.edu>
> To: ai-seminar-announce at cs.cmu.edu
> Cc: hartline at eecs.northwestern.edu
> Subject: [AI Seminar] AI Lunch -- Jason Hartline (Northwestern) --
>         August 29
> Message-ID:
>         <CABzq7ercL-HWv2KAi_t7O9rMeJYLzJisiAQhU1g1u0=2WOFs
> 7Q at mail.gmail.com>
> Content-Type: text/plain; charset="utf-8"
>
> Dear faculty and students,
>
> We look forward to seeing you this Tuesday, August 29, at noon in NSH 1507
> (subject to change) for AI lunch. To learn more about the seminar and
> lunch, please visit the AI Lunch webpage <http://www.cs.cmu.edu/~
> aiseminar/>
> .
>
> On Tuesday, Jason Hartline <https://sites.northwestern.edu/hartline/> from
> Northwestern will visit CMU. If you want to meet him, please sign up in
> this spreadsheet
> <https://docs.google.com/spreadsheets/d/1iAtFpEjGcXSip8EFbMvJi6LARtyKb
> jmhn0HAqh7aLgw/edit#gid=0>.
> His talk is the following:
>
> Title: Peer Grading and Mechanism Design
>
> Abstract:
>
> The first part of the talk will overview a peer grading system that is
> under development at Northwestern U. In courses that use the system it has
> (a) reduced the grading load of course staff by over 75%, (b) expanded and
> improved the students??? interaction with the course material, (c) and
> improved turn-around time of feedback on student work (students receive
> comments on their work after three days, rather than two weeks). As a
> research platform, this system enables a dialogue between theory and
> practice for algorithms, machine learning, and mechanism design.
>
> Of particular focus for the talk is a connection between incentivizing
> students to give accurate peer reviews and all-pay position auctions.
> All-pay auctions are a common model for competitions based on effort. In an
> all-pay position auction, bidders compete for positions, where higher
> positions are more valuable, and all bidders pay their bids (i.e., their
> effort is spent). The equilibrium outcome of an all-pay auction depends on
> the relative values of the positions. The second part of the talk will
> describe recent work on reoptimizing all-pay position auctions from their
> equilibrium bid data.
>
> The second part of the talk is joint work with Shuchi Chawla and Denis
> Nekipelov.
>
> Bio: Prof. Hartline received his Ph.D. in 2003 from the University of
> Washington under the supervision of Anna Karlin. He was a postdoctoral
> fellow at Carnegie Mellon University under the supervision of Avrim Blum;
> and subsequently a researcher at Microsoft Research in Silicon Valley. He
> joined Northwestern University in 2008 where he is an associate professor
> of computer science. He was on sabbatical at Harvard University in the
> Economics Department during the 2014 calendar year and visiting Microsoft
> Research, New England for the Spring of 2015.
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