From the 1 of 6 linked papers with an AI index.
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stat.ML2026
The Noise Premium in Adversarial Training for Kernel Regression
Yiling Xie, Xiaoming Huo
The paper analyzes adversarial training within reproducing kernel Hilbert spaces, deriving generalization bounds and showing how noise affects the trade‑off between robustness and…
stat.ML2026
An Accelerated Stochastic Variance-Reduced Algorithm for Entropic Wasserstein Barycenters
Yiling Xie, Yiling Luo, Xiaoming Huo
Fixed-support Wasserstein barycenters average probability distributions while accounting for the geometry of the support. We study the entropically regularized Wasserstein barycent…
stat.ML2024
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning
Yiling Xie, Xiaoming Huo
We propose an adjusted Wasserstein distributionally robust estimator -- based on a nonlinear transformation of the Wasserstein distributionally robust (WDRO) estimator in statistic…