Multi-Objective Optimization for Self-Adjusting Weighted Gradient in Machine Learning Tasks

3 Jun 2015Conrado Silva MirandaFernando José Von Zuben

Much of the focus in machine learning research is placed in creating new architectures and optimization methods, but the overall loss function is seldom questioned. This paper interprets machine learning from a multi-objective optimization perspective, showing the limitations of the default linear combination of loss functions over a data set and introducing the hypervolume indicator as an alternative... (read more)

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