AutoML @ NeurIPS 2018 challenge: Design and Results
Gleason (United States) · National Institute of Astrophysics, Optics and Electronics · Instituto Politécnico Nacional · Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional · Institut national de recherche en sciences et technologies du numérique · Université Paris-Saclay · Microsoft Research (United Kingdom) · Acadia University · Microsoft (United States) · Hong Kong University of Science and Technology
- The Springer series on challenges in machine learning
- 2019-11-29
- 15
@incollection{escalante2019automl,
title = {AutoML @ NeurIPS 2018 challenge: Design and Results},
author = {Hugo Jair Escalante and Wei-Wei Tu and Isabelle Guyon and Daniel Silver and Evelyne Viegas and Yuqiang Chen and Wenyuan Dai and Qiang Yang},
year = {2019},
booktitle = {The Springer series on challenges in machine learning},
eprint = {1903.05263},
archivePrefix = {arXiv},
doi = {10.1007/978-3-030-29135-8_8},
url = {https://arxiv.org/abs/1903.05263},
}