2019 Conference
ICML @ Long Beach ·The Thirty-Sixth International Conference on Machine Learning Long Beach Convention Center, Long Beach Sun Jun 9th through Sat the 15th, 2019 (Sun is a full day industry expo) Schedule Sun (Expo) Mon Tue Wed Thu Fri Sat Tutorials Invited Talks Orals Posters Workshops Accepted Papers PDF's -- 2019 Proceedings All videos Search videos by keyword We're pleased to announce the invited speakers and panelists as well as the Test of Time and Outstanding paper award recipients for ICML 2020! The test of time talk will be live on Monday! Black Lives Matter The ICML community mourns George Floyd, Ahmaud Arbery, Breonna Taylor and countless other victims of police brutality and racial violence across the world. Black Lives Matter. We will deepen our partnership with Black in AI at ICML, and we share its goals of increasing participation of Black researchers in the field of AI. We affirm our commitment to investing in a future of machine learning research where Black researchers are empowered. Disabilities Please contact us with any assistance needs at the conference. Press Information about press registration and for communication and media for attendees are available here » Sponsors View ICML 2019 sponsors Become a 2026 Sponsor Important Dates Paper Submission Deadline (Full Paper) Jan 23 '19 03:59 PM PST * Tutorial Submission Deadline Feb 22 '19 06:00 PM PST * VolunteerApplicationOpen Mar 12 '19 08:00 AM PDT * Registration Opens Mar 12 '19 08:00 AM PDT * Author Notification (tentative) Apr 24 '19 03:59 PM PDT * Volunteer available dates due May 22 '19 06:00 PM PDT * Last chance for a refund on registration fees May 27 '19 04:59 PM PDT * Early registration pricing ends May 29 '19 12:00 PM PDT * All dates Timezone: 2019 Organizing Committee General Chair: Eric Xing (Petuum Inc. and Carnegie Mellon University) Program Chairs : Kamalika Chaudhuri (University of California, San Diego) Ruslan Salakhutdinov (Carnegie Mellon University) Workshop Chairs: Arthur Gretton (University College London) Honglak Lee (University of Michigan) Tutorial Chairs: Maria-Florina Balcan (Carnegie Mellon University) Raia Hadsell (DeepMind) Local Chair: Andrea Brown (Salk Institute) Diversity Chairs: Barbara Engelhardt (Princeton) John Cunningham (Columbia University) Sponsorship Chairs: Erik Sudderth (University of California, Irvine) Fei Sha (University of Southern California Publications Chairs: Shakir Mohamed (DeepMind) Alexandre Bouchard-Cote (University of British Columbia) Press Chairs: Katherine Gorman (Talking Machines / Collective Next) Jennifer Wortman Vaughan (Microsoft Research) Workflow Chairs: Lisa Lee (Carnegie Mellon University) Devendra Singh Chaplot (Carnegie Mellon University) Paul Pu Liang (CMU) EXPO Chairs: Andrew G. Wilson (Cornell University) Le Song (Georgia Tech) Area Chairs Reviewers Board About The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Between June 9 and June 15, 2019, at the Long Beach Convention & Entertainment Center in Long Beach, California, ICML will host over 6,000 participants. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs. Successful Page Load ICML uses cookies for essential functions only. We do not sell your personal information. Our Privacy Policy » Accept
Executive Summary
The Thirty-Sixth International Conference on Machine Learning (ICML) 2019, held at the Long Beach Convention Center from June 9th to 15th, 2019, was a premier event in the field of machine learning. The conference featured a full-day industry expo, tutorials, invited talks, oral and poster presentations, and workshops. It also highlighted the acceptance of papers and the announcement of invited speakers, panelists, and award recipients for ICML 2020. The conference underscored its commitment to diversity and inclusion, particularly in support of Black researchers in AI, and provided accommodations for attendees with disabilities. The event was organized by a distinguished committee of academics and industry professionals.
Key Points
- ▸ ICML 2019 was a significant event in the machine learning community.
- ▸ The conference included a variety of sessions and activities, such as tutorials, invited talks, and workshops.
- ▸ ICML 2019 emphasized diversity and inclusion, particularly in support of Black researchers in AI.
- ▸ The conference provided accommodations for attendees with disabilities.
Merits
Comprehensive Program
The conference offered a diverse range of activities, including tutorials, invited talks, oral and poster presentations, and workshops, catering to a broad audience of machine learning professionals and academics.
Commitment to Diversity
ICML 2019 demonstrated a strong commitment to diversity and inclusion, particularly through its support for Black researchers in AI and accommodations for attendees with disabilities.
Demerits
Limited Accessibility
While the conference provided accommodations for attendees with disabilities, the extent and effectiveness of these accommodations were not detailed, which could be a limitation for some attendees.
Geographical Bias
The conference was held in Long Beach, which may have limited participation from researchers and professionals from other regions, particularly those with limited travel budgets.
Expert Commentary
The Thirty-Sixth International Conference on Machine Learning (ICML) 2019 was a landmark event that showcased the latest advancements and research in the field of machine learning. The conference's comprehensive program, which included tutorials, invited talks, oral and poster presentations, and workshops, provided a platform for the exchange of ideas and collaboration among leading researchers and professionals. Notably, ICML 2019 placed a strong emphasis on diversity and inclusion, particularly in support of Black researchers in AI. This commitment to equity and representation is crucial for fostering a more inclusive and innovative research community. The conference's accommodations for attendees with disabilities also highlighted the importance of accessibility in academic and professional settings. However, the extent and effectiveness of these accommodations were not detailed, which could be an area for improvement in future conferences. Overall, ICML 2019 set a high standard for future machine learning conferences and demonstrated the importance of diversity, inclusion, and accessibility in the field of AI.
Recommendations
- ✓ Future machine learning conferences should strive to offer a diverse range of sessions and activities to cater to a broad audience of researchers and professionals.
- ✓ Conference organizers should prioritize diversity and inclusion initiatives, such as supporting underrepresented groups in AI and providing accommodations for attendees with disabilities.
