SoCal Machine Learning Symposium
Caltech, November 18, 2016


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.

Confirmed Invited Speakers


Yan Liu

Los Angeles


Silvio Savarese

Palo Alto


Guy Van den Broeck

Los Angeles

Call for Contributions

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.

Key Dates

October 4: Abstract Submission Deadline

October 14: Notification

November 11: Registration Deadline

November 18: Workshop

Submission Website


Caltech, Beckman Institute Auditorium & Outdoor Vicinity (map)

Morning Sessions
8:30am Check-In & Light Breakfast
9:00am Opening Remarks
9:10am Keynote: Guy van den Broeck, "Tractable Learning in Structured Probability Spaces"
9:50am Oral Presentation: Mason McGill
10:10am Oral Presentation: Sanjay Purushotham
10:30am Coffee Break
11:00am Keynote: Yan Liu, "Learning and Mining from Large-scale Time Series Data"
11:40am Oral Presentation: Ramya Vinayak
Afternoon Sessions
12:00pm Lunch - Sponsored by Facebook
1:30pm Keynote: Silvio Savarese, "Seeing Objects and People in the 3D world: Visual Intelligence in Perspective"
2:10pm Oral Presentation: Jorge Poveda
2:30pm Oral Presentation: Lisha Li
2:50pm Oral Presentation: Yang Shi
3:10pm Oral Presentation: James Foulds
3:30pm Poster Session
5:20pm Announcement of Prizes - Sponsored by Google and Amazon
5:30pm Dinner on your own


Please register here.

Deadline November 11th.

Accepted Posters



Map information: here.

Information about directions, parking, and local accommodations can be found here.

Note that parking at Caltech requires a permit. A day permit for general visitors is $6, see here.

A number of hotels have preferred rates for Caltech visitors, see here.

Workshop Organizers


Julian McAuley

University of California
San Diego

Yisong Yue


Contact us

Please send questions and enquiries to