Learning Pareto manifolds in high dimensions: How can regularization help?

Tobias Wegel, Filip Kovačević, Alexandru Ţifrea +1

Simultaneously addressing multiple objectives is becoming increasingly important in modern machine learning. At the same time, data is often high-dimensional and costly to label. F…