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stat.ML2026
Kernel Ridge Regression over Hölder Classes: Function and Derivative Losses
Yuxuan Hou, Yicheng Li
We study ordinary kernel ridge regression over full Hölder-Zygmund balls, measuring errors in Sobolev norms and in pointwise and uniform losses for mixed derivatives. For targets o…
stat.ML2026
Adversarial Robustness of NTK Neural Networks
Yuxuan Hou
Deep learning models are widely deployed in safety-critical domains, but remain vulnerable to adversarial attacks. In this paper, we study the adversarial robustness of NTK neural…