Archival Video

Christopher Ré (Stanford University): Theory & Systems for Weak Supervision

Shafi Goldwasser (Simons Institute,UC Berkeley): Cryptography for Safe Machine Learning

Live Stream 
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Shafi Goldwasser (Simons Institute Berkeley): The Emerging Role of Cryptography in Trustworthy AI. 1:30 -- 2:30 pm central time Mar 3rd.

The MLSys Organizing Committee would like to thank our reviewers!
 

Reviewers »

Announcements

Conference Brochure »

• Deadline for full refund extended to Sunday, March 1st at 4pm PST. The conference has NOT been canceled or posponed.
• Early pricing extended to Feb 17th to accommodate workshop presenters
• The 2020 conference will have a workshop track following the main conference on Mar 4. Workshops are included in the ticket price.
• Due to trademark concerns, the Conference on Systems and Machine Learning (SysML) has changed its name to the Conference on Machine Learning and Systems (MLSys)

Board

Ameet Talwalkar (President)
Virginia Smith (Secretary)
Inderjit Dhillon (Treasurer)
Matei Zaharia

Steering Committee

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

The organizers can be contacted here. 

Program Committee

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:

Read the whitepaper to learn more.