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:
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:
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.
October 4: Abstract Submission Deadline
October 14: Notification
November 11: Registration Deadline
November 18: Workshop
|8:30am||Check-In & Light Breakfast|
|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|
|11:00am||Keynote: Yan Liu, "Learning and Mining from Large-scale Time Series Data"|
|11:40am||Oral Presentation: Ramya Vinayak|
|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|
|5:20pm||Announcement of Prizes - Sponsored by Google and Amazon|
|5:30pm||Dinner on your own|
University of California
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