By ICML 2026 Workshop Chairs Gergely Neu and Courtney Paquette.  We are thrilled to announce the accepted workshops at ICML 2026. This year’s cohort reflects the remarkable breadth and energy of the machine learning community, spanning foundational theory, applications, and the pressing societal questions our field continues to grapple with. Whether you are a seasoned […]

By ICML 2026 Tutorial Chairs Claire Vernade and Adam White. Tutorials are a critical part of the conference experience. They provide graduate students the opportunity to learn in depth from topic experts. They provide practitioners and theoreticians the ability to learn foundational background and the dark-arts of how to get things working in practice. With […]

By Google Researchers Rajesh Jayaram and Vincent Cohen-Addad, and ICML 2026 Program Chairs Alekh Agarwal, Miroslav Dudik, Sharon Li, Martin Jaggi. Following the success of the STOC Experimental AI Feedback program, we launched a similar experiment using Google Research’s Paper Assistant Tool (PAT) before the ICML 2026 deadline. Our goal was to provide authors with […]

By ICML 2026 Program Chairs Alekh Agarwal, Miroslav Dudik, Sharon Li, Martin Jaggi, Scientific Integrity Chair Nihar B. Shah, and Communications Chairs Katherine Gorman and Gautam Kamath. AI has increasingly become a valuable part of researchers’ workflows. Unfortunately, AI has the potential to hurt the integrity of peer review if improperly used. Conferences must adapt, […]

By Google Researchers Rajesh Jayaram and Vincent Cohen-Addad, and ICML 2026 Program Chairs Alekh Agarwal, Miroslav Dudik, Sharon Li, Martin Jaggi.  ICML is excited to announce that we will be providing an experimental tool, in partnership with Google, called the Paper Assistant Tool (PAT), to support authors in improving their submissions to ICML 2026. This […]

By ICML 2026 Integrity Chair Weijie Su and Associate Integrity Chair Buxin Su. In recent years, AI conferences like ICML have seen an exponentially increasing number of submissions. In contrast, the pool of high-quality reviewers has grown much more slowly, raising widespread concerns about the quality of peer review. When review scores are noisy, they can […]

By ICML 2026 Program Chairs Alekh Agarwal, Miroslav Dudik, Sharon Li, Martin Jaggi. As ICML 2026 opens for submissions, we would like to review several new elements that we are introducing this year to improve the reviewing process and to adapt to the changing landscape of LLM use in research.