Search Results for author:
Found 4 papers, 1 papers with code
On the Convergence of Asynchronous Parallel Iteration with Unbounded Delays
Recent years have witnessed the surge of asynchronous parallel (async-parallel) iterative algorithms due to problems involving very large-scale data and a large number of decision variables.
Coordinate Friendly Structures, Algorithms and Applications
To derive simple subproblems for several new classes of applications, this paper systematically studies coordinate-friendly operators that perform low-cost coordinate updates.
Optimal Sparse Kernel Learning for Hyperspectral Anomaly Detection
In this paper, a novel framework of sparse kernel learning for Support Vector Data Description (SVDD) based anomaly detection is presented.
ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates
The agents share $x$ through either global memory or communication.
