CFP: KDD Workshop on Causal Discovery, Prediction and Decision (CDPD 2023)

[Shohei SHIMIZU]

Call for Papers
The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and
Decision (CDPD 2023), August 07, 2023, Long Beach, CA, USA

Paper submission deadline: **May 23, 2023**
http://4llab.net/workshops/CDPD2023/index.html

Accepted workshop papers are to be published in Proceedings of Machine
Learning Research

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As a basic and effective tool for explanation, prediction and decision
making, causal relationships have been utilized in almost all
disciplines. Traditionally, causal relationships are identified by
making use of interventions or randomized controlled experiments.
However, conducting such experiments is often expensive or even
impossible due to cost or ethical concerns. Therefore there has been
an increasing interest in discovering causal relationships based on
observational data, and in the past few decades, significant
contributions have been made to this field by computer scientists.

CDPD-2023 serves as a forum for researchers and practitioners in data
mining and other disciplines to share their recent research in causal
discovery in their respective fields and to explore the possibility of
interdisciplinary collaborations in the study of causality. Based on
the platform of KDD, this workshop is especially interested in
attracting contributions that link data mining/machine learning
research with causal discovery, and solutions to causal discovery in
large scale data sets.

** Topics of Interest

The workshop invites submissions on all topics of causal discovery,
including but not limited to:
･ Causal discovery
･ Causal inference
･ Causal decision making
･ Causality-inspired prediction
･ Stable learning and OOD generalization
･ Causal structure learning
･ Integration of experimental and observational data for causal
inference and causal discovery
･ Algorithmic fairness in prediction and decision
･ Causal explainable machine learning
･ Causal applications in healthcare, education, business, etc.

** Important Dates
- May 23, 2023: Paper submission deadline
- June 23, 2023: Notification of acceptance/rejection
- July 08, 2023: Camera-ready submission deadline for accepted papers
- August 07, 2023: Workshop date

** Paper Submission and Publications
Papers submitted to this workshop must not be under review or accepted
for publication elsewhere. All submitted papers will be reviewed and
selected by the program committee on the basis of originality,
technical quality, relevance to the workshop and presentation quality.
Papers must follow the Instruction for Authors of the Journal of
Machine Learning Research (http://www.jmlr.org/author-info.html). All
papers must be submitted via the EasyChair System
(https://easychair.org/conferences/?conf=cdpd2023). Within the
submission system, please choose "CDPD 2023ﾓ for your submission.

** Workshop Organizers
･ Thuc Le, University of South Australia
･ Jiuyong Li, University of South Australia
･ Robert Ness, Microsoft Research, USA
･ Sofia Triantafyllou, University of Crete, Greece
･ Shohei Shimizu, Shiga University & RIKEN, Japan
･ Peng Cui, Tsinghua University, China
･ Kun Kuang, Zhejiang University, China
･ Jian Pei, Duke University, USA
･ Fei Wang, Cornell University, USA
･ Mattia Prosperi, University of Florida, USA

** Further Information
Please visit workshop website: http://4llab.net/workshops/CDPD2023/index.html