Third Conference on Machine Learning and Systems ·
Virtual-only Conference
Mon Apr 5th through Fri the 9th


Accepted Papers


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


Artifact Evaluation Chairs


Publicity Chair


Demo Chairs


Sponsor Chair

Wen-ming Ye (Amazon)

The organizers can be contacted here

Program Committee »

Important Dates

Conference Sessions Mon Apr 5th through Fri the 9th
Paper Submission deadline Oct 10 '20 05:00 PM PDT *
Author Feedback Begins Nov 26 '20 11:00 PM PST *
Paper Rebuttal/discussion ends Dec 07 '20 11:00 PM PST *
Sponsor Portal Open Jan 12 '21 12:00 PM PST *
Paper Decision Notification Jan 18 '21 11:00 PM PST *
Workshop Application Close Jan 29 '21 05:00 PM PST *
Registration Opens Jan 31 '21 06:00 AM PST *
Workshop Notifications Feb 05 '21 05:00 PM PST *
CameraReadyDeadline Mar 04 '21(Anywhere on Earth)
Sponsor Payment Deadline Mar 19 '21 11:59 PM PDT *
Last chance for a refund on registration fees Apr 02 '21 04:00 PM PDT *
All dates » * Dates above are in pacific time

About Systems and Machine Learning Foundation (SysML)

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.