Fourth Conference on Machine Learning and Systems ·
Virtual-only Conference
Mon Apr 5th through Fri the 9th, 2021

Conference Overview

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

 

Sponsors

We would like to thank our (growing) list of sponsors for their strong support for the MLSys Community. If your company would like to sponsor, please let us know.

View MLSys 2021 sponsors »Become a 2023 Sponsor »(not currently taking applications)

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

Sponsor Chair

Wen-ming Ye (Amazon)

Publications Chair

Jakub Konečný

The organizers can be contacted here. 

Program Committee »