[CfP] NeurIPS 2025 Workshop on Constrained Optimization for Machine Learning
Juan Ramirez
Dear all,
This is a friendly reminder that the submission deadline for extended abstracts (4 pages) for the first Workshop on Constrained Optimization for Machine Learning (COML) at NeurIPS 2025 is Thursday, August 21, 2025 (AOE).
Website: https://constrained-opt-ml.github.io
We welcome submissions on constrained optimization methods and their application to enforcing properties in machine learning models. We particularly encourage contributions in the following areas:
Fundamental algorithms for constrained optimization, especially those suited to constrained deep learning problems (i.e., large-scale, non-convex).
Statistical learning theory for constrained problems, including results on constraint generalization.
Learning-to-optimize approaches applied to solving constrained learning problems.
Practical applications of constrained optimization in deep learning, including enforcing safety-critical or trustworthy AI properties (e.g., fairness, robustness, interpretability).
Software: Libraries and tools that support constrained deep learning workflows.
We look forward to seeing you in San Diego!
COML'25 Organizing Committee