[AI Seminar] ai-seminar-announce Digest, Vol 79, Issue 1

Adams Wei Yu adamsyuwei at gmail.com
Mon Dec 4 09:32:42 EST 2017


A gentle reminder that the talk will happen tomorrow (Tuesday) noon.

On Fri, Dec 1, 2017 at 9:00 AM, <ai-seminar-announce-request at cs.cmu.edu>
wrote:

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>    1.  AI Seminar sponsored by Apple -- Anson Kahng -- Dec 05
>       (Adams Wei Yu)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Fri, 1 Dec 2017 05:03:04 -0800
> From: Adams Wei Yu <weiyu at cs.cmu.edu>
> To: ai-seminar-announce at cs.cmu.edu
> Subject: [AI Seminar] AI Seminar sponsored by Apple -- Anson Kahng --
>         Dec 05
> Message-ID:
>         <CABzq7eoTk5wwF7hQUe-p6B9-Rvt2RJ9r-5wfS7PZ3RSgOujOVQ@
> mail.gmail.com>
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> Dear faculty and students,
>
> We look forward to seeing you next Tuesday, Dec 05, at noon in NSH 3305 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, Anson Kahng <https://www.cs.cmu.edu/~akahng/> will give the
> following talk:
>
> Title: Impartial Rank Aggregation
>
> Abstract:
>
> We study rank aggregation algorithms that take as input the opinions of
> players over their peers, represented as rankings, and output a social
> ordering of the players (which reflects, e.g., relative contribution to a
> project or fit for a job). To prevent strategic behavior, these algorithms
> must be impartial, i.e., players should not be able to influence their own
> position in the output ranking. We design several randomized algorithms
> that are impartial and closely emulate given (non-impartial) rank
> aggregation rules in a rigorous sense. Experimental results further support
> the efficacy and practicability of our algorithms.
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