If you’re going to play NBA DFS, you have to keep in mind lineup announcements and stay tuned for late swapping. That is ...

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

First, clarify what problem needs to be solved and whether there are already proven solutions. The example here searches for the shortest path between two cities. Algorithms like Dijkstra, A*, and ...

Abstract: This study proposes a novel distributed online gradient descent algorithm incorporating a time-decaying forgetting-factor (FF) mechanism. The core innovation lies in introducing a ...