ICML 2026 Committees
ICML 2026 Organizing Committee General Chair Tong Zhang University of Illinois Program Chair Alekh Agarwal Google Miroslav Dudik Microsoft Research Sharon Li University of Wisconsin-Madison Martin Jaggi EPFL Tutorial Chair Claire Vernade University of Tübingen Adam White University of Alberta, Alberta Machine Intelligence Institute (Amii), RL Core Position Paper Track Chair Jerry Zhu University of Wisconsin-Madison Dale Schuurmans Google DeepMind / University of Alberta Workshop Chair Courtney Paquette McGill University/Google DeepMind Gergely Neu Univ Pompeu Pabra Publication Chair Hanze Dong Microsoft Alberto Bietti Flatiron Institute Felix Berkenkamp Aleph Alpha Research Ethics Chair Asia Biega Max Planck Lydia T. Liu Princeton University Scientific Integrity Chair Weijie Su University of Pennsylvania Nihar Shah Carnegie Mellon University Katherine Heller Google Associate Chair Alexander Hägele EPFL Buxin Su University of Pennsylvania Hyeong Kyu Choi University of Wisconsin-Madison Communications Chair Katherine Gorman Talking Machines Gautam Kamath University of Waterloo Social Chair Kevin Leyton-Brown University of British Columbia Chulhee Yun KAIST Local Chairs Chang Yoo Kaist Inclusion & Accessibility Chair Amy Zhang UT Austin Maria Skoularidou Broad Institute Expo Chair Wenming Ye Model AI Corp Ismini Lourentzou UIUC Workflow Chair Zhenyu (Sherry) Xue ICML Conference Production Brian Nettleton Eventhosts Brad Brockmeyer ICML Staff Max Wiesner Eventhosts Lee Campbell Eventhosts Mary Ellen Perry Eventhosts Stephanie Willes Eventhosts Successful Page Load ICML uses cookies for essential functions only. We do not sell your personal information. Our Privacy Policy » Accept
Executive Summary
The article outlines the organizational structure and key personnel for the International Conference on Machine Learning (ICML) 2026. It lists various chairs and their respective roles, including General Chair, Program Chairs, Tutorial Chair, Position Paper Track Chair, Workshop Chair, Publication Chair, Ethics Chair, Scientific Integrity Chair, Associate Chair, Communications Chair, Social Chair, Local Chairs, Inclusion & Accessibility Chair, Expo Chair, Workflow Chair, and Conference Production team. The article highlights the diverse and esteemed backgrounds of the committee members, representing leading academic institutions and tech companies. The structure aims to ensure a comprehensive and well-organized conference, addressing various aspects such as academic content, ethical considerations, and inclusivity.
Key Points
- ▸ Diverse and esteemed committee members from leading academic institutions and tech companies.
- ▸ Comprehensive organizational structure covering various aspects of conference management.
- ▸ Emphasis on ethical considerations and inclusivity.
Merits
Diverse Expertise
The committee members represent a broad range of expertise and backgrounds, ensuring a well-rounded and comprehensive approach to conference organization.
Comprehensive Structure
The detailed organizational structure addresses various critical aspects of conference management, from academic content to ethical considerations and inclusivity.
Ethical and Inclusive Focus
The inclusion of Ethics and Inclusion & Accessibility Chairs underscores the conference's commitment to ethical standards and accessibility.
Demerits
Potential Overlap
There may be potential overlaps in roles and responsibilities among the various chairs, which could lead to inefficiencies or conflicts.
Geographical Bias
The committee members are predominantly from North America and Europe, which may limit the global representation and perspective.
Expert Commentary
The organizational structure for ICML 2026 demonstrates a thoughtful and comprehensive approach to conference management. The diverse expertise of the committee members ensures a well-rounded perspective, addressing both academic and ethical considerations. However, potential overlaps in roles and a geographical bias in representation are areas that could be improved. The inclusion of Ethics and Inclusion & Accessibility Chairs is particularly noteworthy, reflecting the growing importance of these issues in the field of machine learning. This structure not only sets a high standard for academic conferences but also has broader implications for policy and practice in promoting ethical and inclusive environments.
Recommendations
- ✓ Consider expanding the geographical representation to include more diverse perspectives from different regions.
- ✓ Clarify and delineate roles and responsibilities to minimize potential overlaps and ensure efficient management.
