1 citations · 1 across the 8 of their papers we have counts for
8 papers
The Noise Premium in Adversarial Training for Kernel Regression
Yiling Xie, Xiaoming Huo
Adversarial training can improve the robustness of predictive models to bounded perturbations, often at the cost of statistical efficiency. We study this trade-off in kernel regres…
Utility-Aware Multimodal Contrastive Learning for Product Image Generation
Xiaohang Feng, Yiling Xie
Product images strongly influence consumer decision-making in online marketplaces. Empowered by multimodal contrastive learning, generative AI can output images that closely align…
High-dimensional (Group) Adversarial Training in Linear Regression
Yiling Xie, Xiaoming Huo
Adversarial training can achieve robustness against adversarial perturbations and has been widely used in machine learning models. This paper delivers a non-asymptotic consistency…
Asymptotic Behavior of Adversarial Training Estimator under -Perturbation
Yiling Xie, Xiaoming Huo
Adversarial training has been proposed to protect machine learning models against adversarial attacks. This paper focuses on adversarial training under -perturbation,…
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…
Improved Rate of First Order Algorithms for Entropic Optimal Transport
Yiling Luo, Yiling Xie, Xiaoming Huo
This paper improves the state-of-the-art rate of a first-order algorithm for solving entropy regularized optimal transport. The resulting rate for approximating the optimal transpo…
Solving a Special Type of Optimal Transport Problem by a Modified Hungarian Algorithm
Yiling Xie, Yiling Luo, Xiaoming Huo
Computing the empirical Wasserstein distance in the Wasserstein-distance-based independence test is an optimal transport (OT) problem with a special structure. This observation ins…
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…