Scaled Machine LearningStanford University
March 25th 2017, 8:30am - 6:00pm
Machine Learning is evolving to utilize new hardware such as GPUs and large commodity clusters. University and industry researchers have been using these new computing platforms to scale machine learning across many dimensions.
This conference aims to bring together researchers running machine learning algorithms on a variety of computing platforms to foster discussions between them. The goal is to encourage algorithm designers for these platforms to help each other scale and transplant ideas between the platforms.
Speakers and Panelists
ScheduleSaturday March 25th 2017
08:15 Registration open
08:45-09:00 Reza Zadeh, Introduction
09:00-10:00 Ion Stoica
10:00-11:00 Reza Zadeh
11:00-11:30 David Ku
11:30-12:00 Matei Zaharia
12:00-13:00 Lunch Break
13:00-14:00 Jeff Dean
14:00-15:00 Panel: Ziya Ma, Rajat Monga, DB Tsai, Ron Bodkin, Ben Lorica
15:00-15:30 Claudia Perlich
16:00-16:30 Ilya Sutskever
16:30-17:00 Wes Mckinney
17:00-17:30 Ian Buck
17:30-18:00 Andy Feng
SlidesAvailable on the Matroid Blog.
Directions and ParkingThe meeting is in CEMEX Auditorium, on Stanford University campus. The exact address is:
Previous YearsScaled ML 2016