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ORCIDErin LeDell
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- affiliation: H2O.ai, USA
- affiliation (former): University of California, Berkeley, CA, USA
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2020 – today
- 2024
[j1]Pieter Gijsbers, Marcos L. P. Bueno, Stefan Coors, Erin LeDell, Sébastien Poirier, Janek Thomas, Bernd Bischl, Joaquin Vanschoren:
AMLB: an AutoML Benchmark. J. Mach. Learn. Res. 25: 101:1-101:65 (2024)- 2022
- [i2]Pieter Gijsbers, Marcos L. P. Bueno, Stefan Coors, Erin LeDell, Sébastien Poirier, Janek Thomas, Bernd Bischl, Joaquin Vanschoren:
AMLB: an AutoML Benchmark. CoRR abs/2207.12560 (2022)
2010 – 2019
- 2019
- [i1]Pieter Gijsbers, Erin LeDell, Janek Thomas, Sébastien Poirier, Bernd Bischl, Joaquin Vanschoren:
An Open Source AutoML Benchmark. CoRR abs/1907.00909 (2019) - 2016
- [p2]Stephanie Sapp, Erin LeDell:
Divide and Recombine: Subsemble, Exploiting the Power of Cross-Validation. Handbook of Big Data 2016: 323-338 - [p1]Erin LeDell:
Scalable Super Learning. Handbook of Big Data 2016: 339-357 - 2015
- [b1]Erin LeDell:
Scalable Ensemble Learning and Computationally Efficient Variance Estimation. University of California, Berkeley, USA, 2015
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