Shuyao Li

Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise

2024 · arXiv (Cornell University)

We study the problem of learning a single neuron with respect to the $L_2^2$-loss in the presence of adversarial distribution shifts, where the labels can be arbitrary, and the goal is to find a ``best-fit'' …