Yonghoon Lee

2025

Conditional predictive inference with L^k-coverage control.

Yonghoon Lee and Zhimei Ren, 2025. [Arxiv]
Statistical inference leveraging synthetic data with distribution-free guarantees.

Meshi Bashari^*, Yonghoon Lee^*, Roy Maor Lotan, Edgar Dobriban, Yaniv Romano, 2025. [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, 2025 [Arxiv]
The multiplicative instrumental variable model.

Jiewen Liu, Chan Park, Yonghoon Lee, Yunshu Zhang, Mengxin Yu, James M Robins, Eric Tchetgen Tchetgen, 2025 [Arxiv]
Finding distributions that differ, with false discovery rate control.

Yonghoon Lee, Edgar Dobriban, Eric Tchetgen Tchetgen, 2025 [Arxiv]
Synthetic-powered predictive inference.

Meshi Bashari^*, Roy Maor Lotan^*, Yonghoon Lee^*, Edgar Dobriban, Yaniv Romano. Accepted at NeurIPS 2025. [Arxiv]
Selection from hierarchical data with conformal e-values.

Yonghoon Lee and Zhimei Ren, 2025. [Arxiv]

Batch predictive inference.

Yonghoon Lee, Eric Tchetgen Tchetgen, and Edgar Dobriban, 2024. [Arxiv]
Conditional predictive inference for missing outcomes.

Yonghoon Lee, Edgar Dobriban, and Eric Tchetgen Tchetgen, 2024. [Arxiv]

Distribution-free inference with hierarchical data.

Yonghoon Lee, Rina Foygel Barber, and Rebecca Willett, 2023. Under revision at ACM/IMS Journal of data science. [Arxiv]

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

Yonghoon Lee and Rina Foygel Barber. Advances in Neural Information Processing Systems (NeurIPS), 2021. [Arxiv]
Binary classification with corrupted labels.

Yonghoon Lee and Rina Foygel Barber. Electronic Journal of Statistics, 2021. [Arxiv]