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06/21/2023
Adversarial Training with Generated Data in High-Dimensional Regression: An Asymptotic Study
In recent years, studies such as <cit.> have demonstrated that incorpora...
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02/14/2022
Unlabeled Data Help: Minimax Analysis and Adversarial Robustness
The recent proposed self-supervised learning (SSL) approaches successful...
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12/18/2020
Adversarially Robust Estimate and Risk Analysis in Linear Regression
Adversarially robust learning aims to design algorithms that are robust ...
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08/15/2020
On the Generalization Properties of Adversarial Training
Modern machine learning and deep learning models are shown to be vulnera...
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06/16/2020
Directional Pruning of Deep Neural Networks
In the light of the fact that the stochastic gradient descent (SGD) ofte...
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04/28/2020
FU-net: Multi-class Image Segmentation Using Feedback Weighted U-net
In this paper, we present a generic deep convolutional neural network (D...
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02/13/2020
Predictive Power of Nearest Neighbors Algorithm under Random Perturbation
We consider a data corruption scenario in the classical k Nearest Neighb...
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09/25/2019
Benefit of Interpolation in Nearest Neighbor Algorithms
The over-parameterized models attract much attention in the era of data ...
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10/05/2018