Call for Submission: The Southern California Machine Learning Symposium 2017

[Chao-Kai Chiang]

The Southern California Machine Learning Symposium (https://sites.google.com/view/socalml17/home) 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.

Call for Abstracts

We invite contributions in the form of extended abstracts, which will be 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 up to 2 pages in NIPS format (https://nips.cc/Conferences/2017/PaperInformation/StyleFiles). References do not count toward the page limit. Author names and affiliations can be included on the title page.

Contributions should be submitted by August 25 on the workshop's easychair page (https://easychair.org/conferences/?conf=socalml2017).

Key Dates

Abstract Submission Deadline: August 25, 2017, 11:59 PM PST

Notification: September 8, 2017, 11:59 PM PST

Registration Deadline: October 1, 2017, 11:59 PM PST

Workshop: October 6, 2017