2024
A Homogenization Approach for Gradient-Dominated Stochastic Optimization
UAI 2024poster
Gradient dominance property is a condition weaker than strong convexity, yet sufficiently ensures global convergence even in non-convex optimization. This property finds wide applications in machine learning, reinforcement learning (RL), and operations management. In this paper, we propose the stoch…