[Theory] Fwd: Announcement for IDEAL Special Quarter Workshop

Avrim Blum avrim at ttic.edu
Tue Oct 25 13:41:02 CDT 2022


Forwarding to the theory mailing list in case folks didn't get it.  -Avrim

---------- Forwarded message ---------
From: Xiaolin Wang <xiaolin.wang at northwestern.edu>
Date: Tue, Oct 25, 2022 at 1:32 PM
Subject: Announcement for IDEAL Special Quarter Workshop
To: Lev Reyzin <lreyzin at uic.edu>, avrim at ttic.edu <avrim at ttic.edu>,
cliu124 at iit.edu <cliu124 at iit.edu>, chaogao at uchicago.edu <
chaogao at uchicago.edu>, Aravindan Vijayaraghavan <v.aravindan at gmail.com>


Dear site-directors,


The IDEAL Elicitation and Evaluation Workshop is on Friday, Oct 28, 10:30
am - 5:30 pm Chicago Time. I have sent this announcement out to our IDEAL
mailing lists and NU faculty/students. It would be very helpful if you
could forward the announcement below to your local mailing lists. Or you
can provide me with the contact person in your institute to get the
announcement sent.


Thanks!


Best,

Xiaolin


Upcoming IDEAL Workshop on "Elicitation and Evaluation"

Fri. Oct. 28, 2022, 10:30 am-5:30 pm Central Time (Chicago Time)
Dear Colleagues,

We are inviting you to attend the IDEAL Workshop on Elicitation and
Evaluation. The workshop will take place at Northwestern University on
Friday, October 28. It will be in a hybrid format but individual and group
meetings with speakers will happen in person. You can find more information
about the workshop at the workshop webpage
<https://www.ideal.northwestern.edu/events/elicitation-workshop/>.


*Synopsis*

Many areas of science study and utilize methods of evaluating information,
especially in the form of predictions. In particular, this workshop brings
together theorists from different fields including machine learning and
economics-and-computation. How does each area approach the problem of
choosing or designing an evaluation method, such as a loss function or
scoring rule? How might evaluation tools developed in one field be useful
in others? The workshop aims to foster interdisciplinary discussion on
these and related topics.

This workshop will be hybrid, please forward this announcement to anyone
who might be interested.

*Logistics*

   - *Dates: *Friday, Oct. 28
   - *In-person:* Northwestern University Mudd Library 3514
   - *Virtual:* gather.town (details provided to registered participants)
   - *Registration: *Click here to register
   <https://docs.google.com/forms/d/e/1FAIpQLSeHjl7Xocsrc39tFLihHjPqev2ui87ItBElquNecjKagw4CqQ/viewform>



*Speakers*

Rafael Frongillo <https://home.cs.colorado.edu/~raf/> (Colorado University-
Boulder), Yang Liu <http://www.yliuu.com/> (University of California- Santa
Cruz), Weijie Su <http://stat.wharton.upenn.edu/~suw/> (University of
Pennsylvania- Wharton), Mallesh Pai
<https://sites.google.com/view/malleshpai/> ( Rice University)

*Schedule*

All times are in the Central Time Zone (CDT; Chicago time).

   - 10:30-11:00: Breakfast
   - 11:00-11:05: Opening Remarks
   - 11:05-11:45: *Mallesh Pai **The Wisdom of the Crowd and Higher-Order
   Beliefs*
   - 11:50-12:30: *Weijie Su* *A Truthful Owner-Assisted Scoring Mechanism*
   - 12:35-2:00:  Lunch Break
   - 2:00 – 2:40: *Yang Liu **Learning from Noisy Labels without Knowing
   Noise Rates*
   - 2:45 – 3:25: *Rafael Frongillo **Elicitation in Economics and Machine
   Learning*
   - 3:30 – 4:00: Coffee Break
   - 4:00 – 5:30: Individual/group meetings with students, faculty, postdoc
   attendees


*About the Series*

The IDEAL workshop series brings in experts on topics related to the
foundations of data science to present their perspective and research on a
common theme. Chicago area researchers with an interest in the foundations
of data science. This workshop is part of the Fall 2022 IDEAL Special
Quarter on Data Economics.
<https://www.ideal.northwestern.edu/special-quarters/fall-2022/>

This workshop is organized by Bo Waggoner
<https://www.bowaggoner.com/> (University
of Colorado, Boulder), and Zhaoran Wang
<https://zhaoranwang.github.io/> (Northwestern
University).
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