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Found 3 papers, 1 papers with code
Single-Solution Hypervolume Maximization and its use for Improving Generalization of Neural Networks
The relationship between the two problems is proved through bounds on the cost function when an optimal solution to one of the problems is evaluated on the other, with a hyperparameter to control the similarity between the two problems.
Reducing the Training Time of Neural Networks by Partitioning
This paper presents a new method for pre-training neural networks that can decrease the total training time for a neural network while maintaining the final performance, which motivates its use on deep neural networks.
Asymmetric Distributions from Constrained Mixtures
This paper introduces constrained mixtures for continuous distributions, characterized by a mixture of distributions where each distribution has a shape similar to the base distribution and disjoint domains.
