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Noise Optimization for Artificial Neural Networks
Adding noises to artificial neural network(ANN) has been shown to be abl...
02/06/2021 ∙ by Li Xiao, et al. ∙
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Efficient Learning for Clustering and Optimizing Context-Dependent Designs
We consider a simulation optimization problem for a context-dependent de...
12/10/2020 ∙ by Haidong Li, et al. ∙
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Context-dependent Ranking and Selection under a Bayesian Framework
We consider a context-dependent ranking and selection problem. The best ...
12/10/2020 ∙ by Haidong Li, et al. ∙
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Training Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve Adversarial Defensiveness
Recent work in deep learning has shown that the artificial neural networ...
01/31/2019 ∙ by Li Xiao, et al. ∙
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Efficient Sampling for Selecting Important Nodes in Random Network
We consider the problem of selecting important nodes in a random network...
01/11/2019 ∙ by Haidong Li, et al. ∙
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Ranking and Selection as Stochastic Control
Under a Bayesian framework, we formulate the fully sequential sampling a...
10/07/2017 ∙ by Yijie Peng, et al. ∙
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