Announcements
- Call for Papers
- Call for Workshops (coming soon)
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
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General Chair Alex Smola (Amazon) Program Chairs Alex Dimakis, UT, Austin Workshop Chairs Joey Gonzalez, UC, Berkeley Publications Chair TBA |
Artifact Evaluation Chairs TBA Publicity Chair TBA Demo Chairs TBA |
The organizers can be contacted here.
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.
