Big Learning: Algorithms, Systems, and Tools for Learning at Scale

big learning

August 15, 2011

We’re organizing a workshop at NIPS 2011. Submission are solicited for a two day workshop December 16-17 in Sierra Nevada, Spain.

This workshop will address tools, algorithms, systems, hardware, and real-world problem domains related to large-scale machine learning (“Big Learning”). The Big Learning setting has attracted intense interest with active research spanning diverse fields including machine learning, databases, parallel and distributed systems, parallel architectures, and programming languages and abstractions. This workshop will bring together experts across these diverse communities to discuss recent progress, share tools and software, identify pressing new challenges, and to exchange new ideas. Topics of interest include (but are not limited to):

Submissions should be written as extended abstracts, no longer than 4 pages (excluding references) in the NIPS \(\LaTeX\) style. Relevant work previously presented in non-machine-learning conferences is strongly encouraged. Exciting work that was recently presented is allowed, provided that the extended abstract mentions this explicitly.

Update - the website no longer exists but YouTube has a list of all the talks.