Tie-Yan Liu
Founding President, Zhongguancun Academy
NeurIPS 2026’s main conference takes place in Sydney on December 6–12, bringing together machine learning research, invited talks, tutorials and workshops.
NeurIPS 2026 holds its main conference in Sydney, Australia, from December 6–12. The fortieth Conference on Neural Information Processing Systems brings together machine learning researchers and practitioners for scientific presentations, invited talks, tutorials and workshops. Sydney’s conference facilities include the International Convention Centre in Darling Harbour.
The Sydney invited program includes Tie-Yan Liu, Barbara Engelhardt, Satinder Singh, Cheng Soon Ong, Shannon Vallor and José Hernández-Orallo. Announced subjects range from learning in industrial settings and scientific discovery to the social implications of AI and the evaluation of increasingly capable systems. Consult the invited talks for individual dates, locations and abstracts.
The conference combines research presentations with tutorials and more focused workshop discussions. Sydney workshops are scheduled for December 11–12. Attendees should check the location attached to each session when building a schedule, because the 2026 program is distributed across several cities.
This listing is specifically for the Sydney main conference. Atlanta and Paris host separate satellite events on December 9–13; their dates and admission should not be confused with Sydney’s. The organizer has announced that additional tickets are being released from a waitlist. Check current registration details before making travel commitments.
ICC Sydney is at 14 Darling Drive, Sydney NSW 2000, in the Darling Harbour precinct. The venue information identifies the Sydney exhibition facilities and provides operational guidance. Use the official conference website for registration and hotel links: NeurIPS says it has no affiliation with third-party services claiming to collect registration or housing details on its behalf.
Founding President, Zhongguancun Academy
Senior Investigator, Gladstone Institutes; Professor, Stanford University
Artificial intelligence and reinforcement learning researcher
Science Director, Technology Research Unit, CSIRO
Baillie Gifford Chair in the Ethics of Data and Artificial Intelligence, University of Edinburgh
Director of Research, Leverhulme Centre for the Future of Intelligence, University of Cambridge