Fourth Conference on Machine Learning and Systems · San Jose
Sun Apr 4th through Wed the 7th Visit San Jose »

Announcements

Board

Ameet Talwalkar (President)
Virginia Smith (Secretary)
Inderjit Dhillon (Treasurer)
Matei Zaharia
Dimitris Papailiopoulos 
Vivienne Sze

Steering Committee

Jennifer Chayes 
Bill Dally 
Jeff Dean 
Michael I. Jordan 
Yann LeCun 
Fei-Fei Li 
Alex Smola 
Dawn Song 
Eric Xing

 

Organizing Committee

 

General Chair

Alex Smola (Amazon)

Program Chairs

Alex Dimakis, UT, Austin
Ion Stoica, UC, Berkeley

Workshop Chairs

Joey Gonzalez, UC, Berkeley
Theodoros Rekatsinas, UW, Madison

Publications Chair

TBA

Artifact Evaluation Chairs

TBA

Publicity Chair

TBA

Demo Chairs

TBA

The organizers can be contacted here

Program Committee »

Important Dates

Conference Sessions Sun Apr 4th through Wed the 7th
Paper Submission deadline Oct 10 05:00 PM PDT *
Author Feedback Begins Nov 26 11:00 PM PST *
Paper Rebuttal/discussion ends Dec 07 11:00 PM PST *
Workshop Application Close Jan 07 05:00 PM PST *
Workshop Notifications Jan 14 05:00 PM PST *
Paper Decision Notification Jan 18 11:00 PM PST *
Registration Opens Jan 26 02:00 PM PST *
All dates » * Dates above are in pacific time

About Machine Learning and Systems (MLSys)

The Conference on Machine Learning and Systems targets research at the intersection of machine learning and systems. The conference aims to elicit new connections amongst these fields, including identifying best practices and design principles for learning systems, as well as developing novel learning methods and theory tailored to practical machine learning workflows. Topics include:

  • Computer architecture
  • Computer networks
  • Computer security
  • Databases
  • Design automation
  • Embedded & real-time systems
  • High-performance computing
  • Mobile computing
  • Measurement & perf. analysis
  • Operating systems
  • Programming languages
  • Software engineering

Read the whitepaper to learn more.