Learning to Validate the Predictions of Black Box Classifiers on Unseen Data-Reference-Cited by-同舟云学术

Learning to Validate the Predictions of Black Box Classifiers on Unseen Data

Published:2020-06-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data
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Author:

Schelter Sebastian¹,Rukat Tammo²,Biessmann Felix³

Affiliation:

1. New York University, New York, NY, USA

2. Amazon Research, Berlin, Germany

3. Beuth University Berlin, Berlin, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3318464.3380604

Reference30 articles.

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2. Eric Breck Neoklis Polyzotis Sudip Roy Steven Whang and Martin Zinkevich. 2019. Data Validation for Machine Learning. SysML. Eric Breck Neoklis Polyzotis Sudip Roy Steven Whang and Martin Zinkevich. 2019. Data Validation for Machine Learning. SysML.

3. XGBoost

4. Francois Chollet et al. 2015. Keras tensorflow.org/guide/keras. Francois Chollet et al. 2015. Keras tensorflow.org/guide/keras.

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