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  year = {2015},
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@incollection{diaz2018stochastic,
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}

@article{diaz2012population,
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@book{vdl2018targeted,
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}

@book{vdl2011targeted,
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@article{diaz2011super,
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@article{vdl2006targeted,
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@article{vdl2004asymptotic,
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@article{dudoit2005asymptotics,
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@article{vdl2007super,
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@article{kennedy2018nonparametric,
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@article{hejazi2019+generally,
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@article{cvtmle2010,
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@article{luedtke2016super,
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@article{vanderLaanLuedtke15,
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@article{murphy2003,
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@Inbook{robins2004,
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@article{vdl2014entering,
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@article{vdl2003unified,
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@article{forstmeier2017detecting,
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@article{nosek2018preregistration,
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@article{baker2016there,
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@article{pullenayegum2016knowledge,
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@article{stark2018cargo,
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@article{luby2018effects,
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@book{moodie2013,
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@article{polley2010super,
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@software{hejazi2020haldensify,
  author = {Hejazi, Nima S and Benkeser, David C and {van der Laan}, Mark J},
  title = {{haldensify}: Highly adaptive lasso conditional density estimation},
  year  = {2020},
  howpublished = {\url{https://github.com/nhejazi/haldensify}},
  note = {{R} package version 0.0.5},
  url = {https://doi.org/10.5281/zenodo.3698329},
  doi = {10.5281/zenodo.3698329}
}

@software{coyle2020hal9001,
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  url = {https://doi.org/10.5281/zenodo.3558313},
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  note = {{R} package version 0.2.7}
}

@article{hejazi2020hal9001,
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@inproceedings{benkeser2016hal,
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}

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@article{coyle2018origami,
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  number = {21},
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@misc{bengtsson2020unifying,
  author = {Bengtsson, Henrik},
  title = {A Unifying Framework for Parallel and Distributed Processing in R
    using Futures},
  year = {2020},
  month = {8},
  eprint = {2008.00553},
  archiveprefix = {arXiv},
  primaryclass = {cs.DC},
  url = {https://arxiv.org/abs/2008.00553},
}

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