3 papers
math.ST2023
Distribution-free inference with hierarchical data
Yonghoon Lee, Rina Foygel Barber, Rebecca Willett
This paper studies distribution-free inference in settings where the data set has a hierarchical structure -- for example, groups of observations, or repeated measurements. In such…
quant-ph2022
Some aspects of noise in binary classification with quantum circuits
Yonghoon Lee, Doga Murat Kurkcuoglu, Gabriel Nathan Perdue
We formally study the effects of a restricted single-qubit noise model inspired by real quantum hardware, and corruption in quantum training data, on the performance of binary clas…
math.ST2021
Binary classification with corrupted labels
Yonghoon Lee, Rina Foygel Barber
In a binary classification problem where the goal is to fit an accurate predictor, the presence of corrupted labels in the training data set may create an additional challenge. How…