[2nd CfP] ICML 2025 Workshop on Scaling up Intervention Models
Jialin Yu
Dear colleagues,
We are inviting submissions to the “Scaling up Intervention Models (SIM)” workshop to be held at ICML 2025. If you work in causal machine learning, distribution shift and domain adaptation, representation learning, reinforcement learning, bandits and Bayesian optimization, and application areas such as medical spatial treatments, cell biology, economics, recommender systems and LLM-agents implementing or recommending real-world actions, we encourage you to submit your latest research to our workshop. Please see the details below. Apologies for cross-posting.
SIM: Scaling up Intervention Models Workshop (Jul 2025)
Fri Jul 18th or Sat 19th, Vancouver, Canada
Held in conjunction with ICML 2025
https://sites.google.com/view/sim-icml2025
CALL FOR PAPERS
The SIM Workshop @ ICML2025 solicits novel contributions that relate broadly to large intervention models, accepting submissions of papers with both empirical and theoretical nature on recent progress in predicting effects of novel interventions and distribution shifts by exploiting original ways of composing evidence from multiple data-generation regimes.
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KEYNOTE SPEAKERS
Anish Agarwal (Columbia University)
Charlotte Bunne (EPFL)
Amir Feder (Columbia University & Google)
Jason Hartford (University of Manchester & Valence Labs)
Mengyue Yang (University of Bristol)
Guohao Li (University of Oxford & CAMEL-AI.org)
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IMPORTANT DATES & DETAILS
Paper Submission Due: May 20, 2025 (AOE)
Notification of Acceptance: June 09, 2025
Camera-ready Paper Due: June 22, 2025
Workshop Date: July 18 or 19, 2025
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SUBMISSION INSTRUCTIONS
The contributed submission format is of a maximum of 4 pages for the main paper, with unlimited pages for references and appendices in the ICML style format containing original and previously unpublished research. We allow an unlimited number of pages for references and appendices, but reviewers are not required to review the supplementary material in the appendices. Accepted submissions will not be archived, but will be published on our website and on OpenReview. Accepted papers will be presented at the workshop as contributed talks and/or posters.
* All submissions are handled via the workshop’s Openreview website:
https://openreview.net/group?id=ICML.cc/2025/Workshop/SIM.
* We welcome research papers currently under review at archival AI and ML conferences. Submission to this workshop will not break the anonymity or dual submission policies for these conferences. Please note that we do allow the submission of recently published work. However, when selecting papers for oral presentation, preference is given to original works.
* Submissions will be peer-reviewed by at least 2 reviewers, in addition to a program chair. The reviewing process will be double-blind at the level of the reviewers. As an author, you are responsible for anonymizing your submission. Do not include any authors' names, affiliations, acknowledgements, or any other information that could result in de-anonymization.
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WORKSHOP ORGANIZERS
Jiaqi Zhang, MIT & Broad Institute
Jialin Yu, University College London & University of Oxford
Niki Kilbertus, Technical University of Munich & Helmholtz AI
Cheng Zhang, Meta
Caroline Uhler, MIT & Broad Institute
Ricardo Silva, University College London & The Alan Turing Institute
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CONTACT
Email: vicz...@mit.edu and yu.j...@outlook.com
Website: https://sites.google.com/view/sim-icml2025
All the best,
The SIM @ ICML 2025 Organizing Committee