ICML 2025: Call for Papers

The 42nd International Conference on Machine Learning (ICML 2025) will be held in Vancouver, Canada, from July 13–19, 2025, and is planned to be an in-person conference.

We invite submissions of papers on original and rigorous research of significant interest to the machine learning community for the main conference proceedings.

Submission Details

• Review Process: All papers will be reviewed in a double-blind process.
• Presentation: At least one author of accepted papers is required to attend the conference in person to present the paper.
• Formatting:
  • Main paper: 8 pages
  • References, impact statement, and appendices: unlimited pages.
  • Final versions of accepted papers: 1 extra page for the main paper.
• Resources:
  • Author Instructions: https://icml.cc/Conferences/2025/AuthorInstructions
  • Style Files: https://media.icml.cc/Conferences/ICML2025/Styles/icml2025.zip
  • Example Paper: https://media.icml.cc/Conferences/ICML2025/Styles/example_paper.pdf
• Rejection Policy: Submitted papers that do not conform to the policies will be rejected without review.

Topics of Interest (Including, but not limited to):

• General Machine Learning (active learning, clustering, online learning, ranking, supervised, semi- and self-supervised learning, time series analysis, etc.)
• Deep Learning (architectures, generative models, theory, etc.)
• Evaluation (methodology, meta studies, replicability and validity, human-in-the-loop, etc.)
• Theory of Machine Learning (statistical learning theory, bandits, game theory, decision theory, etc.)
• Machine Learning Systems (improved implementation and scalability, hardware, libraries, distributed methods, etc.)
• Optimization (convex and non-convex optimization, matrix/tensor methods, stochastic, online, non-smooth, composite, etc.)
• Probabilistic Methods (Bayesian methods, graphical models, Monte Carlo methods, etc.)
• Reinforcement Learning (decision and control, planning, hierarchical RL, robotics, etc.)
• Trustworthy Machine Learning (causality, fairness, interpretability, privacy, robustness, safety, etc.)
• Application-Driven Machine Learning (innovative techniques, problems, and datasets driven by applications like healthcare, physical sciences, biosciences, social sciences, sustainability and climate, etc.)

Position Papers

Submissions of position papers are also invited and will be handled separately. Please review the call for position papers.

Publication

Papers published at ICML are indexed in the Proceedings of Machine Learning Research (PMLR).

Important Dates and Submission Site

• Submission site open: January 9, 2025
• Abstract Submission Deadline: January 23, 2025 (AoE)
• Full Paper Submission Deadline: January 30, 2025 (AoE)

Submissions are accepted through OpenReview: https://openreview.net/group?id=ICML.cc/2025/Conference

Key Policies

• Deadlines: All deadlines are strict; no extensions will be given.
• Double-Blind Review: All submissions must be anonymized. Posting on preprint servers like arXiv is allowed, but advertising as an ICML submission during review is forbidden.
• Dual Submission: Papers identical or substantially similar to versions published or submitted elsewhere are not allowed.
• Reciprocal Reviewing Requirement: Qualified authors are required to review for ICML. Authors with 4 or more submissions must also agree to serve as a reviewer.
• Generative AI Use: Authors may use generative AI tools but must take full responsibility for the content. AI tools are not eligible for authorship.
• Ethical Conduct: Plagiarism, advertising submissions during review, and collusion are forbidden. Ethics Violation Reporting forms are available.
• Impact Statements: Authors are required to include a statement on the potential broader impact of their work, including ethical aspects.
• Lay Summaries: Authors of accepted papers will be required to submit a short lay summary.

Conference Dates: Sun. July 13th - Sat. July 19th, 2025