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 2024 Sponsor »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 Workshop Chairs Joey Gonzalez, UC, Berkeley |
Sponsor Chair Wen-ming Ye (Amazon) Publications Chair Jakub Konečný |
The organizers can be contacted here.