Mirror Descent Method for Stochastic Multi-Objective Optimization: A Preprint

This paper introduces MSMD, a novel stochastic multi-objective optimization method leveraging stochastic mirror descent to solve subproblems, demonstrating its effectiveness in achieving superior Pareto fronts and competitive performance in neural network training.