1 citations · 1 across the 8 of their papers we have counts for
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Generalized Hierarchical Conformal Prediction
Soham Mallick, Eric Tchetgen Tchetgen, Edgar Dobriban +1
Many prediction problems arise with data collected in groups. In this setting, hierarchical conformal prediction (HCP) (Lee et al., 2026) provides distribution-free prediction sets…
Synthetic-Powered Multiple Testing with FDR Control
Yonghoon Lee, Meshi Bashari, Edgar Dobriban +1
Multiple hypothesis testing with false discovery rate (FDR) control is a fundamental problem in statistical inference, with broad applications in genomics, drug screening, and outl…
Conditional predictive inference with -coverage control
Yonghoon Lee, Zhimei Ren
We consider the problem of distribution-free conditional predictive inference. Prior work has established that achieving exact finite-sample control of conditional coverage without…
General Synthetic-Powered Inference
Meshi Bashari, Yonghoon Lee, Roy Maor Lotan +2
The rapid proliferation of high-quality synthetic data -- generated by advanced AI models or collected as auxiliary data from related tasks -- presents both opportunities and chall…
Finding Distributions that Differ, with False Discovery Rate Control
Yonghoon Lee, Edgar Dobriban, Eric Tchetgen Tchetgen
We consider the problem of comparing a reference distribution with several other distributions. Given a sample from both the reference and the comparison groups, we aim to identify…
Selection from Hierarchical Data with Conformal e-values
Yonghoon Lee, Zhimei Ren
Distribution-free predictive inference beyond the construction of prediction sets has gained a lot of interest in recent applications. One such application is the selection task, w…
Batch Predictive Inference
Yonghoon Lee, Eric Tchetgen Tchetgen, Edgar Dobriban
Constructing prediction sets with coverage guarantees for unobserved outcomes is a core problem in modern statistics. Methods for predictive inference have been developed for a wid…
Conditional Predictive Inference for Missing Outcomes
Yonghoon Lee, Edgar Dobriban, Eric Tchetgen Tchetgen
We study the problem of conditional predictive inference on multiple outcomes missing at random (MAR) -- or equivalently, under covariate shift. While the weighted conformal predic…