Abstract: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.

Abstract: Tracking maneuvering vehicles via ultra-wideband-based wireless sensor networks is challenged by non-stationary, heavy-tailed noise and intermittent measurements. We therefore propose a ...