4 papers
Conformal Inference For Missing Data under Multiple Robust Learning
Wenlu Tang, Hongni Wang, Xingcai Zhou +2
We develop a novel approach to tackle the common but challenging problem of conformal inference for missing data in machine learning, focusing on Missing at Random (MAR) data. We p…
InnerGS: Internal Scenes Reconstruction and Segmentation via Factorized 3D Gaussian Splatting
Shuxin Liang, Yihan Xiao, Wenlu Tang
3D Gaussian Splatting (3DGS) has recently gained popularity for efficient scene rendering by representing scenes as explicit sets of anisotropic 3D Gaussians. However, most existin…
A robust assessment for invariant representations
Wenlu Tang, Zicheng Liu
The performance of machine learning models can be impacted by changes in data over time. A promising approach to address this challenge is invariant learning, with a particular foc…
Statistical inference for pairwise comparison models
Ruijian Han, Wenlu Tang, Yiming Xu
Pairwise comparison models have been widely used for utility evaluation and rank aggregation across various fields. The increasing scale of modern problems underscores the need to…