68 citations · 217 across the 14 of their papers we have counts for
14 papers
A Spectral Approach for the Dynamic Bradley-Terry Model
Xin-Yu Tian, Jian Shi, Xiaotong Shen +1
The dynamic ranking, due to its increasing importance in many applications, is becoming crucial, especially with the collection of voluminous time-dependent data. One such applicat…
Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification
Yifei Liu, Rex Shen, Xiaotong Shen
This paper introduces a novel Perturbation-Assisted Inference (PAI) framework utilizing synthetic data generated by the Perturbation-Assisted Sample Synthesis (PASS) method. The fr…
Nonlinear Causal Discovery with Confounders
Chunlin Li, Xiaotong Shen, Wei Pan
This article introduces a causal discovery method to learn nonlinear relationships in a directed acyclic graph with correlated Gaussian errors due to confounding. First, we derive…
Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation
Ben Dai, Xiaotong Shen, Lin Yee Chen +2
In explainable artificial intelligence, discriminative feature localization is critical to reveal a blackbox model's decision-making process from raw data to prediction. In this ar…
Inference of nonlinear causal effects with GWAS summary data
Ben Dai, Chunlin Li, Haoran Xue +2
Large-scale genome-wide association studies (GWAS) have offered an exciting opportunity to discover putative causal genes or risk factors associated with diseases by using SNPs as…
Distribution-Invariant Differential Privacy
Xuan Bi, Xiaotong Shen
Differential privacy is becoming one gold standard for protecting the privacy of publicly shared data. It has been widely used in social science, data science, public health, infor…