2026
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Synthetic-powered multiple testing with FDR Control.
Yonghoon Lee*, Meshi Bashari*, Edgar Dobriban, and Yaniv Romano.
[Arxiv]
2025
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Conditional predictive inference with L^k-coverage control.
Yonghoon Lee and Zhimei Ren.
[Arxiv]
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Statistical inference leveraging synthetic data with distribution-free guarantees.
Meshi Bashari*, Yonghoon Lee*, Roy Maor Lotan, Edgar Dobriban, Yaniv Romano.
[Arxiv]
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Inference on nonlinear counterfactual functionals for the treated under a multiplicative IV model.
Yonghoon Lee, Mengxin Yu, Jiewen Liu, Chan Park, Yunshu Zhang, James M Robins, Eric Tchetgen Tchetgen
[Arxiv]
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The multiplicative instrumental variable model.
Jiewen Liu, Chan Park, Yonghoon Lee, Yunshu Zhang, Mengxin Yu, James M Robins, Eric Tchetgen Tchetgen.
Under revision at Biometrika
[Arxiv]
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Finding distributions that differ, with false discovery rate control.
Yonghoon Lee, Edgar Dobriban, Eric Tchetgen Tchetgen.
To appear at Biometrika
[Arxiv]
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Synthetic-powered predictive inference.
Meshi Bashari*, Roy Maor Lotan*, Yonghoon Lee*, Edgar Dobriban, Yaniv Romano.
NeurIPS 2025.
[Arxiv]
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Selection from hierarchical data with conformal e-values.
Yonghoon Lee and Zhimei Ren.
[Arxiv]
2024
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Batch predictive inference.
Yonghoon Lee, Eric Tchetgen Tchetgen, and Edgar Dobriban.
Under revision at Annals of Statistics
[Arxiv]
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Conditional predictive inference for missing outcomes.
Yonghoon Lee, Edgar Dobriban, and Eric Tchetgen Tchetgen.
[Arxiv]
2023
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Distribution-free inference with hierarchical data.
Yonghoon Lee, Rina Foygel Barber, and Rebecca Willett.
To appear at ACM/IMS Journal of Data Science.
[Arxiv]
2021
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Distribution-free inference for regression: discrete, continuous, and in between.
Yonghoon Lee and Rina Foygel Barber.
NeurIPS 2021.
[Arxiv]
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Binary classification with corrupted labels.
Yonghoon Lee and Rina Foygel Barber.
Electronic Journal of Statistics.
[Arxiv]