7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Robustly Learning a Single Neuron via Sharpness
Puqian Wang, Nikos Zarifis, Ilias Diakonikolas +1
We study the problem of learning a single neuron with respect to the -loss in the presence of adversarial label noise. We give an efficient algorithm that, for a broad famil…
math.OC2021★ 7 cited
Potential Function-based Framework for Making the Gradients Small in Convex and Min-Max Optimization
Jelena Diakonikolas, Puqian Wang
Making the gradients small is a fundamental optimization problem that has eluded unifying and simple convergence arguments in first-order optimization, so far primarily reserved fo…