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@article{curtin2013mlpack,
title={{MLPACK}: A scalable {C++} machine learning library},
author={Curtin, Ryan R and Cline, James R and Slagle, Neil P and March, William B and Ram, Parikshit and Mehta, Nishant A and Gray, Alexander G},
journal={The Journal of Machine Learning Research},
volume={14},
number={1},
pages={801--805},
year={2013},
}
@article{curtin2018mlpack,
title={mlpack 3: a fast, flexible machine learning library},
author={Curtin, Ryan R and Edel, Marcus and Lozhnikov, Mikhail and Mentekidis, Yannis and Ghaisas, Sumedh and Zhang, Shangtong},
journal={Journal of Open Source Software},
volume={3},
number={26},
pages={726},
year={2018}
}
@article{jordan2015machine,
title={Machine learning: Trends, perspectives, and prospects},
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publisher={American Association for the Advancement of Science}
}
@article{carleo2019machine,
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year={2019},
publisher={APS}
}
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title={Bert: Pre-training of deep bidirectional transformers for language understanding},
author={Devlin, Jacob and Chang, Ming-Wei and Lee, Kenton and Toutanova, Kristina},
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year={2018}
}
@inproceedings{gieseke2018training,
title={Training big random forests with little resources},
author={Gieseke, Fabian and Igel, Christian},
booktitle={ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining},
pages={1445--1454},
year={2018}
}
@article{paleyes2020challenges,
title={Challenges in deploying machine learning: a survey of case studies},
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year={2020},
publisher={ACM New York, NY}
}
@article{lavin2022technology,
title={Technology readiness levels for machine learning systems},
author={Lavin, Alexander and Gilligan-Lee, Ciar{\'a}n M and Visnjic, Alessya and Ganju, Siddha and Newman, Dava and Ganguly, Sujoy and Lange, Danny and Baydin, At{\'\i}l{\'\i}m G{\"u}ne{\c{s}} and Sharma, Amit and Gibson, Adam and others},
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}
@article{fischer2020ai,
title={{AI} {S}ystem {E}ngineering---{K}ey {C}hallenges and {L}essons {L}earned},
author={Fischer, Lukas and Ehrlinger, Lisa and Geist, Verena and Ramler, Rudolf and Sobiezky, Florian and Zellinger, Werner and Brunner, David and Kumar, Mohit and Moser, Bernhard},
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pages={56--83},
year={2020},
publisher={MDPI}
}
@misc{mlpack2021vision,
title={{mlpack}: A Vision for an Efficient Prototype-to-Deployment Machine Learning Library},
author={{mlpack community}},
date={2021},
howpublished={\url{https://www.mlpack.org/papers/vision.pdf}}
}
@inproceedings{curtin2016fast,
title={Fast approximate furthest neighbors with data-dependent candidate selection},
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pages={221--235},
year={2016},
organization={Springer}
}
@inproceedings{curtin2017dual,
title={A dual-tree algorithm for fast k-means clustering with large k},
author={Curtin, Ryan R},
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pages={300--308},
year={2017},
organization={SIAM}
}
@article{lee2008fast,
title={Fast high-dimensional kernel summations using the {M}onte {C}arlo {M}ultipole {M}ethod},
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}
@article{curtin2014dual,
title={Dual-tree fast exact max-kernel search},
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}
@inproceedings{fang2016m3,
title={M3: Scaling up machine learning via memory mapping},
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pages={2249--2250},
year={2016}
}
@inproceedings{edel2014automatic,
title={An automatic benchmarking system},
author={Edel, Marcus and Soni, Anand and Curtin, Ryan R},
booktitle={NIPS Workshop on Software Engineering for Machine Learning},
year={2014}
}
@article{sanderson2016armadillo,
title={{Armadillo}: a template-based {C}++ library for linear algebra},
author={Sanderson, Conrad and Curtin, Ryan R},
journal={Journal of Open Source Software},
volume={1},
number={2},
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year={2016}
}
@article{curtin2021ensmallen,
title={The ensmallen library for flexible numerical optimization},
author={Curtin, Ryan R and Edel, Marcus and Prabhu, Rahul Ganesh and Basak, Suryoday and Lou, Zhihao and Sanderson, Conrad},
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year={2021}
}
@inproceedings{kluyver2016jupyter,
title={Jupyter {N}otebooks---a publishing format for reproducible computational workflows},
author={Kluyver, Thomas and Ragan-Kelley, Benjamin and P{\'e}rez, Fernando and Granger, Brian E and Bussonnier, Matthias and Frederic, Jonathan and Kelley, Kyle and Hamrick, Jessica B and Grout, Jason and Corlay, Sylvain and others},
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pages={87--90}
}
@article{bezanson2017julia,
title={Julia: A fresh approach to numerical computing},
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year={2017},
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}
@inproceedings{pike2012go,
title={{Go} at {Google}: Language design in the service of software engineering},
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@Manual{rcore2022,
title = {{R}: A Language and Environment for Statistical Computing},
author = {{R Core Team}},
organization = {R Foundation for Statistical Computing},
address = {Vienna, Austria},
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}
@Manual{parihar2022rmlpack,
title = {{mlpack}: {`Rcpp'} Integration for the `mlpack' Library},
author = {Yashwant {Singh Parihar} and Curtin, Ryan R and Dirk Eddelbuettel and James Balamuta and others},
year = {2022},
note = {R package version 4.0.0},
url = {https://CRAN.R-project.org/package=mlpack},
}
@article{johnson2019billion,
title={Billion-scale similarity search with {GPUs}},
author={Johnson, Jeff and Douze, Matthijs and J{\'e}gou, Herv{\'e}},
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}
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}