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stat.ML2025
DRO-Augment Framework: Robustness by Synergizing Wasserstein Distributionally Robust Optimization and Data Augmentation
Jiaming Hu, Debarghya Mukherjee, Ioannis Ch. Paschalidis
In many real-world applications, ensuring the robustness and stability of deep neural networks (DNNs) is crucial, particularly for image classification tasks that encounter various…
stat.ML2024
Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification
Jiachen Chen, Danyang Huang, Liyuan Wang +3
Node classification is a fundamental task, but obtaining node classification labels can be challenging and expensive in many real-world scenarios. Transfer learning has emerged as…