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cs.LG2022
Learning Non-Vacuous Generalization Bounds from Optimization
Chengli Tan, Jiangshe Zhang, Junmin Liu +1
One of the fundamental challenges in the deep learning community is to theoretically understand how well a deep neural network generalizes to unseen data. However, current approach…
cs.LG2020
Gumbel-softmax-based Optimization: A Simple General Framework for Optimization Problems on Graphs
Yaoxin Li, Jing Liu, Guozheng Lin +3
In computer science, there exist a large number of optimization problems defined on graphs, that is to find a best node state configuration or a network structure such that the des…