ICML 2025 Workshop: Scaling up Intervention Models (SIM)
Join the ICML 2025 workshop on Scaling up Intervention Models, featuring keynote speakers and submissions on novel contributions related to large intervention models.
Join the Scaling up Intervention Models (SIM) workshop at ICML 2025, held on July 18th or 19th in Vancouver, Canada. This workshop invites submissions on novel contributions related to large intervention models, including causal machine learning, distribution shift, and domain adaptation.
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)
Important Dates:
- 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
Submission Instructions:
Submit your research papers via the workshop’s OpenReview website. Submissions should be in the ICML style format, with a maximum of 4 pages for the main paper and unlimited pages for references and appendices.
Tags: ICML 2025, Scaling up Intervention Models, causal machine learning, distribution shift, domain adaptation, reinforcement learning, bandits, Bayesian optimization