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@misc{byambadalai2024estimatingdistributionaltreatmenteffects,
title={Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction},
author={Undral Byambadalai and Tatsushi Oka and Shota Yasui},
year={2024},
eprint={2407.16037},
archivePrefix={arXiv},
primaryClass={econ.EM},
url={https://arxiv.org/abs/2407.16037},
}
@book{fisher1935design,
title={The Design of Experiments},
author={Fisher, Ronald A.},
year={1935},
publisher={Oliver and Boyd}
}
@ARTICLE{2020NumPy-Array,
author = {Harris, Charles R. and Millman, K. Jarrod and
van der Walt, Stéfan J and Gommers, Ralf and
Virtanen, Pauli and Cournapeau, David and
Wieser, Eric and Taylor, Julian and Berg, Sebastian and
Smith, Nathaniel J. and Kern, Robert and Picus, Matti and
Hoyer, Stephan and van Kerkwijk, Marten H. and
Brett, Matthew and Haldane, Allan and
Fernández del Río, Jaime and Wiebe, Mark and
Peterson, Pearu and Gérard-Marchant, Pierre and
Sheppard, Kevin and Reddy, Tyler and Weckesser, Warren and
Abbasi, Hameer and Gohlke, Christoph and
Oliphant, Travis E.},
title = {Array programming with {NumPy}},
journal = {Nature},
year = {2020},
volume = {585},
pages = {357–362},
doi = {10.1038/s41586-020-2649-2}
}
@article{scikit-learn,
title={Scikit-learn: Machine Learning in {P}ython},
author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
journal={Journal of Machine Learning Research},
volume={12},
pages={2825--2830},
year={2011}
}
@misc{byambadalai2025efficientestimationdistributionaltreatment,
title={On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization},
author={Undral Byambadalai and Tatsushi Oka and Shota Yasui},
year={2025},
eprint={2506.05945},
archivePrefix={arXiv},
primaryClass={econ.EM},
url={https://arxiv.org/abs/2506.05945}
}
@misc{hirata2025efficientscalableestimationdistributional,
title={Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks},
author={Tomu Hirata and Undral Byambadalai and Tatsushi Oka and Shota Yasui},
year={2025},
eprint={2507.07738},
archivePrefix={arXiv},
primaryClass={econ.EM},
url={https://arxiv.org/abs/2507.07738}
}