Conference on Systems and Machine Learning

Conference on Systems and Machine Learning
Austin, TX, USA
March 2 – 4, 2020

Paper submission deadline: Sep 9, 2019 @ 4:59pm PDT

The Conference on Systems and Machine Learning 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. To learn more, see whitepaper at https://arxiv.org/abs/1904.03257
Videos of previous iterations (SysML18, SysML19) can be found at https://lnkd.in/eji6i2N

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
– Programming languages for machine learning
– Visualization of data, models, and predictions
– Customized hardware for machine learning
– Hardware-efficient ML methods
– Machine Learning for Systems

SUBMISSION GUIDELINES:
Papers should be up to 10 pages and are due September 9, 2019. Reviewing will be double-blind and papers will be published in conference proceedings. The conference will also include an optional artifact evaluation process to highlight research with reproducible experiments, data, and software artifacts.

For more details, see www.sysml.cc/#submission.