Call for papers

We invite submission of up to 6-page papers (excluding references) in the following areas: (a) the challenges of using machine learning for networking (b) the need for domain customization when using machine learning to solve networking problems (c) position papers on how to build effective AutoML solutions for networking. Accepted papers will be made available on the workshop website, but there will be no formal proceedings. Authors may therefore publish their work in other journals or conferences. The workshop will include invited talks, round-table and panel discussion, as well as oral and poster presentations by participants.

  • All submissions must be in PDF format and should follow the MLSys'20 Template. Please refer to the guidelines provided at MLSys 2020 Paper Submission Guidelines for more details.
  • Submissions must be anonymized for double-blind review.
  • Submission link

Areas of interest

Areas of interest include but are not limited to:

  • Automated ML for networks/systems and challenges
  • Challenges in building and scaling ML models for solving networking related problems
  • Supervised, unsupervised, and reinforcement learning research with applications to Networking and Interconnects, Distributed Systems, Datacenters, Runtime Systems
  • Human Computer Interaction (HCI) for AutoML frameworks

Important dates

  • Submission Deadline [EXTENDED!]: Jan 20th, 2020 - Midnight AoE
  • Acceptance Notifications: Jan 27th, 2020
  • Camera-ready Submission: Feb 10th, 2020
  • Workshop: March 4th, 2020


Program committee

Michael Schapira (Hebrew University)

Vahid Tarokh (Duke University)

Andrew Putnam (Microsoft)

Kevin Jamieson (University of Washington)

Arpit Gupta (UCSB)

Hongqiang Liu (Alibaba Research)

Mina Tahmasbi (Cornell University)

Santiago Segarra (Rice)

Srikanth Kandula (Microsoft)