2026 ICML Officers and Board Members
2026 ICML Officers and Board Members President Kilian Weinberger, Cornell University President Elect Kamalika Chaudhuri, UCSD / Meta Research Secretary Chris de Sa, Cornell / Together.AI Treasurer John Langford, Microsoft Research Legal Advisor David Kirkpatrick Board Members Aarti Singh (Program Chair 2020) Adrian Weller (Program Chair 2024) Andreas Krause (Elected 2019 & 2018 Program Chair & 2023 General Chair) Barbara Engelhardt (Program Chair 2023) Corinna Cortes (Elected 2018) Daniel Hsu (Program Chair 2025) Emma Brunskill (Elected 2018 & Program Chair 2023) Francis Bach (Elected 2019 & Past-President 2023) Hugo Larochelle (Elected 2022) Jennifer Dy (2018 Program Chair & 2022 Secretary) John Langford (2022 President & 2023 Treasurer) Kamalika Chaudhuri (2019 Program Chair & 2025 President) Katherine Heller (Program Chair 2024) Kilian Weinberger (Program Chair 2016 & Elected 2018 & President 2024) Kyunghyun Cho (Program Chair 2023) Marc Deisenroth (Elected 2022) Maryam Fazel (Program Chair 2025) Nuria Oliver (Program Chair 2024) Ruslan Salakhutdinov (2019 Program Chair & General Chair 2024) Simon Lacoste-Julien (Program Chair 2025) Thorsten Joachims (Elected 2018) Virginia Smith (Program Chair 2025) Zico Kolter (Program Chair 2024) Emeritus Members William Cohen Tom Dietterich Andrew McCallum Ray Mooney Joelle Pineau Former Members Csaba Szepesvari David Blei Eric Xing Hal Daume Hanna Wallach Le Song Marina Meila Nina Balcan Shakir Mohamed Stefanie Jegelka Tong Zhang Successful Page Load ICML uses cookies for essential functions only. We do not sell your personal information. Our Privacy Policy » Accept
Executive Summary
The International Conference on Machine Learning (ICML) has announced its 2026 officers and board members. The leadership team includes Kilian Weinberger as President, Kamalika Chaudhuri as President Elect, and Chris de Sa as Secretary. The board members, comprising a diverse group of experts in the field, are responsible for shaping the conference's future direction and ensuring its continued success. The announcement reflects the ICML's commitment to promoting cutting-edge research and collaboration in machine learning.
Key Points
- ▸ The ICML has appointed Kilian Weinberger as its President for 2026.
- ▸ Kamalika Chaudhuri has been elected as President Elect, succeeding Kilian Weinberger in 2027.
- ▸ The board members include a mix of seasoned researchers and emerging leaders in the field of machine learning.
Merits
Strength in Leadership
The appointment of Kilian Weinberger as President and Kamalika Chaudhuri as President Elect demonstrates the ICML's ability to attract and retain top talent in the field, ensuring the conference's continued relevance and influence.
Diverse Board Composition
The board members represent a diverse range of research institutions and industries, reflecting the ICML's commitment to inclusivity and collaboration.
Demerits
Limited Transparency
The announcement does not provide detailed information about the selection process or the qualifications of the board members, which may raise concerns about accountability and transparency.
Lack of Diversity in Representation
While the board members are diverse in terms of their research institutions and industries, there may be limited representation from underrepresented groups within the field of machine learning.
Expert Commentary
The ICML's announcement of its 2026 officers and board members reflects the conference's ongoing commitment to promoting cutting-edge research and collaboration in machine learning. While the leadership team and board members demonstrate a strong mix of expertise and diversity, there may be concerns about transparency and representation. As the conference continues to evolve, it will be essential to prioritize these issues and ensure that the ICML remains a leading platform for advancing the field of machine learning.
Recommendations
- ✓ The ICML should prioritize transparency and accountability in its leadership and board selection processes, including providing detailed information about the selection process and qualifications of board members.
- ✓ The ICML should continue to prioritize diversity and inclusion, actively seeking to increase representation from underrepresented groups within the field of machine learning.
