MWGraD aggregates multiple Wasserstein gradients with dynamically updated weights to find Pareto-stationary distributions, with convergence guarantees and improved multi-task accuracy.
Direct multisearch for multiobjective optimization
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Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization
MWGraD aggregates multiple Wasserstein gradients with dynamically updated weights to find Pareto-stationary distributions, with convergence guarantees and improved multi-task accuracy.