• 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, 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]

• Simultaneous conformal prediction of missing outcomes with propensity score ε-discretization.

  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. [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]