14 citations · 14 across the 2 of their papers we have counts for
5 papers · 1 filter
Generalization Bounds for Convolutional Neural Networks
Shan Lin, Jingwei Zhang
Convolutional neural networks (CNNs) have achieved breakthrough performances in a wide range of applications including image classification, semantic segmentation, and object detec…
An Optimal Transport View on Generalization
Jingwei Zhang, Tongliang Liu, Dacheng Tao
We derive upper bounds on the generalization error of learning algorithms based on their \emph{algorithmic transport cost}: the expected Wasserstein distance between the output hyp…
Theoretical Analysis of Adversarial Learning: A Minimax Approach
Zhuozhuo Tu, Jingwei Zhang, Dacheng Tao
Here we propose a general theoretical method for analyzing the risk bound in the presence of adversaries. Specifically, we try to fit the adversarial learning problem into the mini…
An Information-Theoretic View for Deep Learning
Jingwei Zhang, Tongliang Liu, Dacheng Tao
Deep learning has transformed computer vision, natural language processing, and speech recognition\cite{badrinarayanan2017segnet, dong2016image, ren2017faster, ji20133d}. However,…
On the Rates of Convergence from Surrogate Risk Minimizers to the Bayes Optimal Classifier
Jingwei Zhang, Tongliang Liu, Dacheng Tao
We study the rates of convergence from empirical surrogate risk minimizers to the Bayes optimal classifier. Specifically, we introduce the notion of \emph{consistency intensity} to…