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stat.ML2024
Sparse Max-Affine Regression
Haitham Kanj, Seonho Kim, Kiryung Lee
This paper presents Sparse Gradient Descent as a solution for variable selection in convex piecewise linear regression, where the model is given as the maximum of -affine functi…
eess.SP2024
Robust Phase Retrieval by Alternating Minimization
Seonho Kim, Kiryung Lee
We consider a least absolute deviation (LAD) approach to the robust phase retrieval problem that aims to recover a signal from its absolute measurements corrupted with sparse noise…
eess.SP2024
Small-Noise Sensitivity Analysis of Locating Pulses in the Presence of Adversarial Perturbation
Meghna Kalra, Maxime Ferreira Da Costa, Kiryung Lee
A fundamental small-noise sensitivity analysis of spike localization in the presence of adversarial perturbations and an arbitrary point spread function (PSF) is presented. The ana…