UCI Southern California Machine Learning Symposium

The Symposium will be held in the Calit2 Building Auditorium at UC Irvine.

Attendees are strongly encouraged to register as soon as possible, as space is limited:  http://www.calit2.uci.edu/calit2-events/calendar.aspx?eid=796

This event is "sold out" for auditorium seating. Limited overflow seating is currently available at Bren Hall. Those registering on March 1 or later will meet at BH 6011.

Morning 9 am - noon: Theory, Foundations, and Statistics

• 8:55-9:00: Introductions (Padhraic Smyth)
• 9:00-9:45: Sanjoy Das Gupta (UC San Diego): Algorithms for Interactive Learning.
• 9:45-10:30: Michael Jordan (UC Berkeley): Computational Thinking, Inferential Thinking, and Data Science.
• 10:30-10:45: Coffee Break
• 10:45-11:30 Tomaso Poggio (MIT): Some Theorems on Hierarchical Learning Machines.
• 11:30-12:15: Vladimir Vapnik (Columbia University and Facebook): Intelligent Mechanisms of Learning.
• 12:15-1:30:  Lunch and Posters

1:30 pm - 5 pm: Applications

• 1:25-1:30: Introductions (Alex Ihler)
• 1:30-2:15 Anima Anandkumar (UCI): Tensor Methods for Large-Scale Machine Learning.
• 2:15-3:00: Fei Sha UCLA: Can Shallow Random Features be as Effective as Deep Learning Features?
• 3:00-3:45: Kevin Murphy (Google): Beyond a Bag of Labels: Towards Deep Visual Scene Analysis.
• 3:45-4:00 Coffee Break
• 4:00-4:45 Pietro Perona (Caltech): Visipedia: A Network of Machines, Data and People for Discovering, Organizing and Accessing Visual Information.
• 4:45-5:30: Pierre Baldi (UCI): Deep Learning in the Natural Sciences.

Reception 5:30-8 PM: Wine and Cheese, Music, Posters