PLUTUS: Understanding Data Distribution Tailoring for Machine Learning
Author:
Affiliation:
1. University of Rochester, Rochester, USA
2. Technsiche Universität Berlin, Berlin, Germany
3. Technische Universität Berlin, Berlin, Germany
Funder
German Federal Ministry of Education and Research
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3626246.3654745
Reference24 articles.
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3. Matthias Boehm et al. 2020. SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle. In CIDR.
4. Selective data acquisition in the wild for model charging
5. Tianqi Chen and Carlos Guestrin. 2016. XGBoost: A Scalable Tree Boosting System. In SIGKDD. ACM, San Francisco California USA, 785--794. https://doi. org/10.1145/2939672.2939785
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