Authors are encouraged to submit previously unpublished research at the intersection of computer systems and machine learning. The SysML Program Committee will select papers based on a combination of novelty, quality, interest, and impact.

Topics of interest include, but are not limited to:

Efficient model training, inference, and serving
Distributed and parallel learning algorithms
Privacy and security for ML applications
Testing, debugging, and monitoring of ML applications
Fairness and interpretability for ML applications
Data preparation, feature selection, and feature extraction
ML programming models and abstractions
Programmng languages for machine learning
Visualization of data, models, and predictions
Customized hardware for machine learning
Hardware-efficient ML methods

Submission deadline: September 28th, 2018 at 4:59pm PDT.

Notification of acceptance: January 4th, 2019.