Yonghoon Lee
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    2026

  • Synthetic-powered multiple testing with FDR Control.

    Yonghoon Lee*, Meshi Bashari*, Edgar Dobriban, and Yaniv Romano. [Arxiv]

  • 2025

  • Conditional predictive inference with L^k-coverage control.

    Yonghoon Lee and Zhimei Ren. [Arxiv]

  • Statistical inference leveraging synthetic data with distribution-free guarantees.

    Meshi Bashari*, Yonghoon Lee*, Roy Maor Lotan, Edgar Dobriban, Yaniv Romano. [Arxiv]

  • 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]

  • 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]

  • Finding distributions that differ, with false discovery rate control.

    Yonghoon Lee, Edgar Dobriban, Eric Tchetgen Tchetgen. To appear at Biometrika [Arxiv]

  • Synthetic-powered predictive inference.

    Meshi Bashari*, Roy Maor Lotan*, Yonghoon Lee*, Edgar Dobriban, Yaniv Romano. NeurIPS 2025. [Arxiv]

  • Selection from hierarchical data with conformal e-values.

    Yonghoon Lee and Zhimei Ren. [Arxiv]

  • 2024

  • Batch predictive inference.

    Yonghoon Lee, Eric Tchetgen Tchetgen, and Edgar Dobriban. Under revision at Annals of Statistics [Arxiv]

  • Conditional predictive inference for missing outcomes.

    Yonghoon Lee, Edgar Dobriban, and Eric Tchetgen Tchetgen. [Arxiv]

  • 2023

  • 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

  • Distribution-free inference for regression: discrete, continuous, and in between.

    Yonghoon Lee and Rina Foygel Barber. NeurIPS 2021. [Arxiv]

  • Binary classification with corrupted labels.

    Yonghoon Lee and Rina Foygel Barber. Electronic Journal of Statistics. [Arxiv]