NIPS 2015

Monday December 07 - Saturday December 12, 2015
Palais des Congrès de Montréal, Montréal CANADA

The Twenty-ninth Annual Conference on Neural Information Processing Systems (NIPS) is a single-track machine learning and computational neuroscience conference that includes invited talks, demonstrations and oral and poster presentations of refereed papers.

Montréal City Hall by David Iliff / CC-BY-2.5
View NIPS 2016 » Program Highlights »


See Program Books menu for the Conference and Workshop books in PDF.

Online Videos

Videos are available for Tutorials, Invited Speakers, and Spotlights. Thanks to Microsoft for shooting, editing and hosting the videos. Check here for updates. We will add workshop videos later in the spring. 

Demonstrations

Demonstrations offer a unique opportunity to showcase Software systems, Hardware technology, Neuromorphic and biologically-inspired systems, Robotics, or other relevant systems.

Congratulations to Jordan L Boyd-Graber and Mohit Lyyer for winning the Best Demonstration Award »

View Demos »

Symposia

Three symposia will be held in parallel Thursday, Dec 10. The goal of the symposia is to present topical material on a single broad theme, well suited to the main conference audience.

Workshops

A total of thirty-eight workshops will be held after the main conference on Friday Dec 11 and Saturday Dec 12. The goal of the workshops is to provide an informal forum to discuss important research questions and challenges. 

View Workshops »

Accepted Papers

The list of accepted papers for the 2015 Conference is now available under the Submissions menu or by clicking the link below.

View Accepted Papers »

Sponsors / Exhibitors

Corporate sponsorship of the annual NIPS Conference contributes to the successful outcome of each year's Conference and we appreciate your support and participation.

Become a sponsor or exhibitor »


2015 NIPS Poster

Women in Machine Learning

This day-long technical workshop gives female faculty, research scientists, and graduate students in the machine learning community an opportunity to meet, exchange ideas and learn from each other.

WiML Website »