SysML Conference

March 31 - April 2, 2019
Stanford, CA

SysML '20 site:

The Conference on Systems and Machine Learning (SysML) targets research at the intersection of systems and machine learning. 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.
Read the whitepaper to learn more.

The SysML conference will be held on March 31st, April 1st, and April 2nd, 2019 in Stanford, California.

Please note our Conference Code of Conduct.


Sunday, March 31

5:30pm - 8:30pm Welcome Reception (dinner + drinks)

Monday, April 1

7:45am - 8:40am Breakfast & Registration
8:40am - 9:00am Opening Remarks
9:00am - 10:30am Session I: Parallel & Distributed Learning I
10:30am - 11:00am Coffee Break
11:00am - 12:30pm Session II: Parallel & Distributed Learning II
12:30pm - 2:00pm Lunch
2:00pm - 2:30pm Keynote: Compiling AI for the Edge - Ofer Dekel (Microsoft Research)
2:30pm - 4:00pm Session III: Security and Privacy
4:00pm - 4:30pm Coffee Break
4:30pm - 6:00pm Session IV: Video Analytics
6:00pm - 6:15pm Demo Previews (see demo list here)
6:30pm - 9:00pm Posters, Demos, & Reception (dinner + drinks)

Tuesday, April 2

7:45am - 9:00am Breakfast & Registration
9:00am - 10:30am Session I: Hardware
10:30am - 11:00am Coffee Break
11:00am - 12:30pm Session II: Hardware & Debugging
12:30pm - 2:00pm Lunch
1:15pm - 1:45pm: Reproducibility Breakout Session (Fisher Conference Center)
2:00pm - 2:30pm Keynote: How Do We Make AI Fair? - Maya Gupta (Google AI)
2:30pm - 4:00pm Session III: Efficient Training & Inference
4:00pm - 4:30pm Coffee Break
4:30pm - 6:00pm Session IV: Programming Models
  • RLgraph: Modular Computation Graphs for Deep Reinforcement Learning
    Michael Schaarschmidt (University of Cambridge), Sven Mika (rlcore), Kai Fricke (Helmut Schmidt University), Eiko Yoneki (University of Cambridge)
  • TensorFlow Eager: A multi-stage, Python-embedded DSL for machine learning
    Akshay Agrawal (Google Brain), Akshay Naresh Modi (Google Brain), Alexandre Passos (Google Brain), Allen Lavoie (Google Brain), Ashish Agarwal (Google Brain), Asim Shankar (Google Brain), Igor Ganichev (Google Brain), Josh Levenberg (Google Brain), Mingsheng Hong (Google Brain), Rajat Monga (Google Brain), Shanqing Cai (Google Brain)
  • AutoGraph: Imperative-style Coding with Graph-based Performance
    Dan Moldovan (Google Inc.), James Decker (Purdue University), Fei Wang (Purdue University), Andrew Johnson (Google Inc.), Brian Lee (Google Inc.), Zack Nado (Google Inc.), D Sculley (Google), Tiark Rompf (Purdue University), Alexander B Wiltschko (Google Inc.)
  • TensorFlow.js: Machine Learning for the Web and Beyond
    Daniel Smilkov (Google), Nikhil Thorat (Google), Yannick Assogba (Google), Charles Nicholson (Verily), Nick Kreeger (Google), Ping Yu (Google), Shanqing Cai (Google), Eric Nielsen (Google), David Soegel (Google), Stan Bileschi (Google), Michael Terry (Google), Ann Yuan (Google), Kangyi Zhang (Google), Sandeep Gupta (Google), Sarah Sirajuddin (Google), D Sculley (Google), Rajat Monga (Google), Greg Corrado (Google), Fernanda Viegas (Google), Martin M Wattenberg (Google)
6:00pm - 6:15pm Closing Remarks & SysML 2020



Conference Location: Arrillaga Alumni Center
Stanford University


We have arranged room blocks/discounts at the following hotels:

Cardinal Hotel - Group rate valid until March 1 or until all rooms booked

Stanford Guest House - Sold out

Crown Plaza - Group rate valid until March 1 or until all rooms booked

Hotel Nia - Select "special rates - Corporate/Promo" and enter corporate code "S23"

Other lodging options near Stanford can be found here (listed rates may not be current):

Stanford's Lodging Guide


Thank you to our 2019 sponsors for your generous support!

Platinum Sponsors


Gold Sponsors


Silver Sponsors



If you would like to learn more about sponsorship opportunities, please read our prospectus.

If you would like to apply to be a sponsor, our application is now open.

All applications received by December 10, 2018 will be considered in the first wave. Applications received after December 10, 2018 will be considered based on remaining availability.

Please use the following email to inquire about conference information and sponsorship opportunities:

Conference Code of Conduct

All attendees, speakers, sponsors and volunteers at our conference are required to agree with the following code of conduct. Organisers will enforce this code throughout the event. We expect cooperation from all participants to help ensure a safe environment for everybody.

Our conference is dedicated to providing a harassment-free conference experience for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, religion (or lack thereof), or technology choices. We do not tolerate harassment of conference participants in any form. Sexual language and imagery is not appropriate for any conference venue, including talks, workshops, parties, Twitter and other online media. Conference participants violating these rules may be sanctioned or expelled from the conference without a refund at the discretion of the conference organizers.

For more information, visit:

Note: The XLDB conference is taking place immediately after SysML, also at Stanford.