SysML 2019 - 2019 SysML Conference

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