2 citations · 3 across the 5 of their papers we have counts for
5 papers
Post-Learning Inference for Combinatorial Optimizers with High-Dimensional Sparse Contextual Information via Minimal Directional Perturbation
Pengyu Li, Shuting Shen
We study post-learning inference for structural properties of data-dependent combinatorial optimizers. The target is whether an oracle optimizer, rather than a latent parameter or…
Anti-Concentration Inequalities for the Difference of Maxima of Gaussian Random Vectors
Alexandre Belloni, Ethan X. Fang, Shuting Shen
We derive novel anti-concentration bounds for the difference between the maximal values of two Gaussian random vectors across various settings. Our bounds are dimension-free, scali…
Inference of Dependency Knowledge Graph for Electronic Health Records
Zhiwei Xu, Ziming Gan, Doudou Zhou +3
The effective analysis of high-dimensional Electronic Health Record (EHR) data, with substantial potential for healthcare research, presents notable methodological challenges. Empl…
Dimension Reduction for Large-Scale Federated Data: Statistical Rate and Asymptotic Inference
Shuting Shen, Junwei Lu, Xihong Lin
In light of the rapidly growing large-scale data in federated ecosystems, the traditional principal component analysis (PCA) is often not applicable due to privacy protection consi…
Combinatorial Inference on the Optimal Assortment in Multinomial Logit Models
Shuting Shen, Xi Chen, Ethan X. Fang +1
Assortment optimization has received active explorations in the past few decades due to its practical importance. Despite the extensive literature dealing with optimization algorit…