Overview
The inaugural Workshop on Constrained Optimization for Machine Learning (COML) is set to take place at NeurIPS 2025. This event aims to delve into the critical role of constrained optimization in ensuring that machine learning models adhere to essential requirements such as fairness, safety, and robustness. As the landscape of AI continues to evolve, driven by regulatory demands and societal expectations, this workshop addresses a timely and significant topic for researchers and practitioners alike.
Background & Relevance
Constrained optimization is a vital area within machine learning that focuses on incorporating specific requirements into model development. This approach is increasingly relevant as stakeholders demand that AI systems operate within ethical and regulatory frameworks. The workshop will explore various methodologies and applications of constrained optimization, emphasizing its importance in creating trustworthy AI systems. By fostering discussions around these themes, the workshop aims to contribute to the ongoing discourse on responsible AI practices.
Key Details
- Event: Workshop on Constrained Optimization for Machine Learning (COML)
- Dates: December 6-7, 2025
- Location: San Diego, California, USA
- Submission Deadline: August 21, 2025 (AOE)
- Submission Format: Extended abstracts (4 pages)
- Website: COML Workshop
- Call for Contributions: Submission Details
- Reviewer Nomination Form: Nominate Here
Eligibility & Participation
The workshop is open to researchers, practitioners, and students interested in the intersection of constrained optimization and machine learning. Participants are encouraged to submit their extended abstracts for presentation and engage in discussions that will shape the future of AI practices.
Submission or Application Guidelines
- Prepare an extended abstract of up to 4 pages.
- Submit your abstract by the deadline of August 21, 2025 (AOE).
- For those interested in contributing as reviewers, please complete the reviewer nomination form by the same date.
- Visit the workshop website for further details on submissions and participation.
More Information
The exploration of constrained optimization in machine learning is crucial as it aligns with the growing demand for ethical AI. This workshop will serve as a platform for sharing innovative ideas and research findings that address the challenges of integrating constraints into machine learning models. By participating, attendees will contribute to the advancement of methodologies that promote fairness, safety, and robustness in AI systems.
Conclusion
The COML workshop at NeurIPS 2025 presents a unique opportunity for those interested in the critical aspects of constrained optimization in machine learning. Researchers and practitioners are encouraged to submit their work and engage with peers in meaningful discussions. This event promises to be a significant step forward in the quest for responsible AI development. Explore the opportunity, submit your work, and join the conversation in San Diego!
Category: Conferences & Workshops
Tags: ml, neurips, constrained optimization, fairness, safety, robustness, machine learning, workshop, AI ethics, optimization techniques
