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Boundedness and convergence of online gradient method with penalty for feedforward neural networks
IEEE Transactions on Neural Networks
Asynchronous gossip algorithms for stochastic optimization
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
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IEEE Transactions on Neural Networks
IEEE Transactions on Information Theory
Incremental Subgradients for Constrained Convex Optimization: A Unified Framework and New Methods
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Variable risk control via stochastic optimization
International Journal of Robotics Research
Convergence of chaos injection-based batch backpropagation algorithm for feedforward neural networks
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
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Minimizing a separable convex objective subject to an ordering restriction on its variables is a generalization of a class of problems in statistical estimation and inventory control. It is shown that a pool adjacent violators (PAV) algorithm can be ...