Call for Paper

Important Dates

All deadlines are at 11:59 PM AoE.

• April 26th, 2024: CMT submission portal opens
• May 28th, 2024: Abstract submission deadline
• June 28th, 2024: Workshop paper submission deadline
• July 11th, 2024: Paper decision notifications
• July 24th, 2024: Camera-ready deadline
• August 26th, 2024: Workshop

Submission Link

• CMT submission portal: https://cmt3.research.microsoft.com/CMLKDD2024/

Aim and Scope

The workshop aims to bring together researchers and practitioners from academia and industry to share their experiences and insights on applying causal inference and machine learning techniques to real-world problems in the areas of product, brand, policy, and beyond.

We welcome papers on a variety of topics, including but not limited to the following:

• Industry use cases where causal inference and machine learning are used in practice
• Challenges and opportunities for using causal inference and machine learning in industry settings
• Techniques for incorporating causal inference into machine learning models
• Methodologies for evaluating causal machine-learning models in practice

We encourage submissions from researchers and practitioners working in industry, government, and academia. We welcome papers that present new research results, works in progress, or case studies that showcase the application of causal inference and machine learning techniques to real-world problems.

All submissions will be peer-reviewed by the program committee, and accepted papers will be presented as contributed talks or posters during the workshop.

Submission and Formatting Instructions

• Submissions are single-blind—author names and affiliations should be listed.
• Submissions are limited to 6 pages (excluding references), must be in PDF, and use the ACM Conference Proceeding template (two-column format).
• The recommended setting for Latex documents is: \documentclass[sigconf, review]{acmart}.
• Additional supplemental material focused on reproducibility can be provided. Proofs, pseudo-code, and code may also be included in the supplement, which has no explicit page limit.
• The supplementary material should be included in the same PDF file as the main manuscript. The main body of the paper should be self-contained since reviewers are not required to read the supplementary material. The supplementary material will not be included in the proceedings.
• Submissions violating these formatting requirements will be desk-rejected.
• The Word template guideline can be found here.
• The Latex/overleaf template guideline can be found here.

For any questions or inquiries, please contact the workshop organizers at jeong@uber.com and zyzheng@berkeley.edu. We look forward to your submissions!