36 citations · 43 across the 17 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
SymmPI: Predictive Inference for Data with Group Symmetries
Edgar Dobriban, Mengxin Yu
Quantifying the uncertainty of predictions is a core problem in modern statistics. Methods for predictive inference have been developed under a variety of assumptions, often -- for…