3 papers
stat.ME2026
Upper Confidence Bounds for the Prediction Error of Kernel Ridge Regression via Gaussian Refitting
Yijin Ni, Xiaoming Huo
Assessing a single model fit requires a computable upper confidence bound for the gap between the fit and the unknown truth, as mean estimates ignore realization variance. Standard…
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.ME2024
Sequential and Simultaneous Distance-based Dimension Reduction
Yijin Ni, Chuanping Yu, Andy Ko +1
This paper introduces a method called Sequential and Simultaneous Distance-based Dimension Reduction () that performs simultaneous dimension reduction for a pair of random…