[CFP] UAI2023 Workshop: The History and Development of Search Methods for Causal Structure

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Shohei SHIMIZU

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May 18, 2023, 6:32:07 PM5/18/23
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みなさま

滋賀大学の清水昌平です。

UAI2023のワークショップ「The History and Development of Search Methods for
Causal Structure」のCFPです。因果探索に関するケーススタディを募集しております。

よろしくお願いいたします。

清水
---------
The Uncertainty in Artificial Intelligence (UAI 2023) workshop on “The
History and Development of Search Methods for Causal Structure"
welcomes submitted papers or poster abstracts.

-- Location: Grand Room, Posner Hall 3rd Floor, Carnegie Mellon
University, Pittsburgh
-- Time: 9 am - 5 pm, August 4th, 2023 (EST)
-- Paper submission deadline: June 30, 2023, Anywhere on Earth
-- Author Notification: July 15, 2023
-- Submission website:
https://openreview.net/group?id=auai.org/UAI/2023/Workshop/Causality
-- UAI workshop website: https://www.cmu.edu/dietrich/causality/uai23ws/
-- Contact: causalit...@gmail.com, sche...@cmu.edu

Solicitation for Contributed Papers
We invite submissions of case studies for oral presentations or poster session.
Applying causal discovery methods to empirical data to learn something
useful about interesting scientific questions is an important goal of
the wider enterprise of causal discovery. Case studies of such
attempts, either successful or unsuccessful, are important feedback to
the development of methods, and this session is meant to highlight
both the history of such efforts, and to showcase recent efforts.

Submissions should be identified as addressing “Case Studies”. We
welcome two types of submissions: paper submission and poster
submission.
-- Paper submission should be no more than 8 pages in length plus
references and supplementary material; papers will be considered for
oral or poster presentation.
-- Submissions only for posters are also welcome and should contain
an abstract of the content of the poster.

The submission should describe
-- The scientific question(s) being addressed, including the
background knowledge/theories available to scientists at the time of
the application
-- The empirical data collected or available
-- The algorithms applied to these data (why, how, etc.)
-- Experimental or other follow-ups
-- The results

Submitted papers should follow the requirements for UAI 2023
submissions. The length of submissions is flexible, but is limited to
eight content pages, including all figures and tables; additional
pages containing only references are allowed. Please format your
submission using the UAI 2023 LaTeX style file. If needed, authors may
additionally submit supplementary material. Please indicate whether it
is a paper or poster submission in the abstract.
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