π£ Call for Community Nominations: Tutorials at ICML 2026
π£ Call for Community Nominations: Tutorials at ICML 2026 As part of our effort to make ICML tutorials more relevant, diverse, and community-driven, we invite the machine learning community to submit nominations of speakers or topics they would be most excited to see at ICML 2026 . Do you know someone who is a great teacher? Or perhaps you attended an amazing tutorial recently? Is there a topic you wish you could learn more deeply from an expert? We want to hear from you! We are particularly interested in topics you feel like you want to learn about for your own research, but also in topics you know about and you feel like more people should know. We also appreciate that some speakers just have a gift for teaching complex ideas and we would like to learn about them. We value the diversity of our community and we encourage all nominations How it works Use the short form below to submit one tutorial idea : one speaker (and optionally their topic) and/or one topic youβd like covered. You are limited to submitting exactly one nomination per person (weβll ask for an email address to help us keep track). Nominations are open until December 7, 2025 (AOE, right after NeurIPS). What weβll do The Tutorial Chairs will review the nominations, identify emerging themes and frequently mentioned speakers, and use these insights to shape the program for the tutorials. Your input will help make ICML tutorials more inclusive, engaging, and responsive to the interests of our community β thank you for contributing! π Nominate a tutorial speaker or topic here Successful Page Load ICML uses cookies for essential functions only. We do not sell your personal information. Our Privacy Policy Β» Accept
Executive Summary
The International Conference on Machine Learning (ICML) has issued a call for community nominations for tutorials at ICML 2026. The conference aims to make tutorials more relevant, diverse, and community-driven by soliciting nominations from the machine learning community. The nomination process, which closes on December 7, 2025, seeks suggestions for speakers, topics, or a combination of both. The Tutorial Chairs will review the nominations to shape the program for the tutorials, ensuring inclusivity, engagement, and responsiveness to community interests.
Key Points
- ▸ ICML 2026 seeks community nominations for tutorials
- ▸ Nominations aim to make tutorials more relevant, diverse, and community-driven
- ▸ Nomination process closes on December 7, 2025
- ▸ Tutorial Chairs will review and shape the tutorial program
Merits
Community Engagement
The call for nominations encourages community participation, fostering a sense of ownership and inclusivity among conference attendees.
Diversity and Relevance
By soliciting nominations, ICML can ensure that tutorials are tailored to the interests and needs of the machine learning community, promoting diversity and relevance.
Improved Tutorial Program
The nomination process allows the Tutorial Chairs to curate a high-quality tutorial program that addresses emerging themes and frequently mentioned speakers.
Demerits
Time-Consuming Process
The nomination process, which requires individuals to submit their suggestions, may be time-consuming and may not yield a high response rate.
Bias and Subjectivity
The nomination process may be susceptible to bias and subjectivity, as individuals may nominate speakers or topics based on personal preferences rather than objective criteria.
Limited Input
The nomination process may not capture the full range of opinions and suggestions from the machine learning community, particularly from those who may not be familiar with the nomination process.
Expert Commentary
The call for nominations is a welcome development in the ICML community, as it seeks to make tutorials more relevant, diverse, and community-driven. By soliciting suggestions from the machine learning community, the conference organizers can ensure that the tutorial program addresses emerging themes and frequently mentioned speakers. However, the nomination process may be susceptible to bias and subjectivity, and the response rate may be limited. Nevertheless, the implications of this initiative are significant, as it may set a precedent for other conferences to adopt similar community-driven approaches, promoting a more inclusive and participatory conference culture.
Recommendations
- ✓ The ICML organizers should consider providing more incentives for individuals to nominate speakers or topics, such as recognition or rewards for outstanding nominations.
- ✓ The nomination process should be accompanied by a clear set of guidelines and criteria for evaluating nominations, to ensure that the selection process is fair and transparent.
