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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…
Synthetic-Powered Predictive Inference
Meshi Bashari, Roy Maor Lotan, Yonghoon Lee +2
Conformal prediction is a framework for predictive inference with a distribution-free, finite-sample guarantee. However, it tends to provide uninformative prediction sets when cali…
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…