Socalml 2017 - Southern California Machine Learning Symposium 2017

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 SoCal ML 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.
New, open, or unsolved problems in machine learning theory or applications.
The majority of workshop will be focused on student and postdoc contributions, in the form of contributed talks and posters.