2 papers
stat.CO2026
Robust Global Fr'echet Regression via Weight Regularization
Hao Li, Shonosuke Sugasawa, Shota Katayama
The Fréchet regression is a useful method for modeling random objects in a general metric space given Euclidean covariates. However, the conventional approach could be sensitive t…
stat.CO2024
Adaptively Robust and Sparse K-means Clustering
Hao Li, Shonosuke Sugasawa, Shota Katayama
While K-means is known to be a standard clustering algorithm, its performance may be compromised due to the presence of outliers and high-dimensional noisy variables. This paper pr…