Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 3 of 3 for “"Non-asymptotic Analysis"”.
-
Interpreting Deep Neural Networks and Beyond: Visualization, Learning Dynamics, and Disentanglement
… which is unrelated to network decisions. This analysis, together with various experiments, implies that those human-interpretable visualizations do not always reveal the inner working mechanisms of deep neural networks. Second, although generative adversarial networks (GANs) have been one of …
-
Model Selection, Uniform Inference and Nonparametric Regression
Model selection in the nonparametric regression model is inevitable since any nonparametric estimator requires tuning parameters to be specified in order for it to be feasible. It is, however, standard practice to carry over the theory of nonparametric estimators when the model is fixed to the case …
-
Efficient algorithms for distributed learning, optimization and belief systems over networks
… we focus on the principled design and analysis of distributed algorithms for optimization, learning and belief systems over networks. Particularly, we are interested in the non-asymptotic analysis of various distributed algorithms and the explicit influence of the topology of the …