diff --git a/paper/paper.bib b/paper/paper.bib index f6a8001..7f93d55 100644 --- a/paper/paper.bib +++ b/paper/paper.bib @@ -1,11 +1,13 @@ -@misc{byambadalai2024estimatingdistributionaltreatmenteffects, +@inproceedings{byambadalai2024estimatingdistributionaltreatmenteffects, title={Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction}, - author={Undral Byambadalai and Tatsushi Oka and Shota Yasui}, + author={Byambadalai, Undral and Oka, Tatsushi and Yasui, Shota}, + booktitle={Proceedings of the 41st International Conference on Machine Learning}, + pages={5082--5113}, year={2024}, - eprint={2407.16037}, - archivePrefix={arXiv}, - primaryClass={econ.EM}, - url={https://arxiv.org/abs/2407.16037}, + volume={235}, + series={Proceedings of Machine Learning Research}, + publisher={PMLR}, + doi={10.2139/ssrn.4910058} } @book{fisher1935design, @@ -50,31 +52,31 @@ @article{scikit-learn @inproceedings{byambadalai2025efficientestimationdistributionaltreatment, title={On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization}, - author={Undral Byambadalai and Tomu Hirata and Tatsushi Oka and Shota Yasui}, + author={Byambadalai, Undral and Hirata, Tomu and Oka, Tatsushi and Yasui, Shota}, booktitle={Proceedings of the 42nd International Conference on Machine Learning}, year={2025}, - series={ICML'25}, - url={https://arxiv.org/abs/2506.05945} + series={Proceedings of Machine Learning Research}, + publisher={PMLR}, + doi={10.2139/ssrn.5286083} } @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 and Shunsuke Uto}, + author={Hirata, Tomu and Byambadalai, Undral and Oka, Tatsushi and Yasui, Shota and Uto, Shunsuke}, year={2025}, eprint={2507.07738}, archivePrefix={arXiv}, primaryClass={econ.EM}, - url={https://arxiv.org/abs/2507.07738} + url={https://arxiv.org/abs/2507.07738}, + doi={10.2139/ssrn.5347645} } -@misc{byambadalai2025imperfectcompliance, +@inproceedings{byambadalai2025imperfectcompliance, title={Beyond the Average: Distributional Causal Inference under Imperfect Compliance}, - author={Undral Byambadalai and Tomu Hirata and Tatsushi Oka and Shota Yasui}, + author={Byambadalai, Undral and Hirata, Tomu and Oka, Tatsushi and Yasui, Shota}, + booktitle={Advances in Neural Information Processing Systems}, year={2025}, - eprint={2509.15594}, - archivePrefix={arXiv}, - primaryClass={econ.EM}, - url={https://arxiv.org/abs/2509.15594} + doi={10.2139/ssrn.5504858} } @article{oka2025regression, @@ -98,7 +100,7 @@ @article{dowhy author={Sharma, Amit and Kiciman, Emre}, journal={arXiv preprint arXiv:2011.04216}, year={2020}, - url={https://arxiv.org/abs/2011.04216} + doi={10.48550/arXiv.2011.04216} } @inproceedings{econml, @@ -107,7 +109,8 @@ @inproceedings{econml booktitle={Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery \& Data Mining}, pages={4072--4073}, year={2021}, - organization={ACM} + organization={ACM}, + doi={10.1145/3447548.3470792} } @ARTICLE{2020SciPy-NMeth,