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Machine Learning Workload Optimization with Experiment Database

This repository contains codes and documents describing our work for optimizing machine learning workloads with Experiment Databases. The result of the work is published in SIGMOD 2020.

Paper: Optimizing Machine Learning Workloads in Collaborative Environments (Open Access)

BibTex citation:

@inproceedings{derakhshan2020optimizing,
  title={Optimizing machine learning workloads in collaborative environments},
  author={Derakhshan, Behrouz and Rezaei Mahdiraji, Alireza and Abedjan, Ziawasch and Rabl, Tilmann and Markl, Volker},
  booktitle={Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data},
  pages={1701--1716},
  year={2020}
}

Usage Guide

Setup and usage guide can be found here