The Southern California Machine Learning Symposium brings together students and faculty to promote machine learning in the southern California region. The workshop serves as a forum for researchers from a variety of fields working on machine learning to share and discuss their latest findings.

Topics to be covered at the symposium include but are not limited to:

• Machine learning with graphs, social networks, and structured data.
• Active learning, reinforcement learning, crowdsourcing.
• Learning with images and natural language.
• Learning with high-dimensional data.
• Neural networks, deep learning, and graphical models.
• Learning dynamic and streaming data.
• Applications to interesting new domains.
• Addressing each of these issues at scale.

The majority of workshop will be focused on student and postdoc contributions, in the form of contributed talks and posters.

The 2016 SoCal ML symposium will feature two sponsored prizes:

• Google Research will sponsor a $500 first-prize and a $250 runner-up prize for the best student and postdoc presentations.
• Amazon will sponsor a first-place prize of $2500 in AWS credit + an Amazon echo for the best real-world application, and five runners-up prizes of $1000 in AWS credit.

We invite contributions in the form of extended abstracts, which will be lightly reviewed prior to selection for inclusion in the workshop.

Contributions that are selected for inclusion will be presented during a poster session, with some contributions being selected for oral presentation.

We invite submissions of 1 to 2-pages in NIPS format. Contributions should be submitted by October 4 on the workshop's easychair page.