S
Shuxiao Chen
Researcher at University of Pennsylvania
Publications - 21
Citations - 280
Shuxiao Chen is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Computer science & Empirical risk minimization. The author has an hindex of 6, co-authored 16 publications receiving 126 citations.
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A Group-Theoretic Framework for Data Augmentation
TL;DR: It is shown that data augmentation is equivalent to an averaging operation over the orbits of a certain group that keeps the data distribution approximately invariant, and it is proved that it leads to variance reduction.
Journal ArticleDOI
Valid Inference Corrected for Outlier Removal
Shuxiao Chen,Jacob Bien +1 more
TL;DR: This article highlights the fact that the standard “detect-and-forget” OLS approach can lead to invalid inference and shows how recently developed tools in selective inference can be used to properly account for outlier detection and removal.
Posted Content
Invariance reduces Variance: Understanding Data Augmentation in Deep Learning and Beyond.
TL;DR: A theoretical framework to start to shed light on how data augmentation could be used in problems with symmetry where other approaches are prevalent, such as in cryo-electron microscopy (cryo-EM).
Posted Content
Global and Individualized Community Detection in Inhomogeneous Multilayer Networks.
TL;DR: The present paper studies community detection in a stylized yet informative inhomogeneous multilayer network model, and provides an efficient algorithm that is simultaneously asymptotic minimax optimal for both estimation tasks under mild conditions.
Proceedings Article
Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity
TL;DR: A novel approach from the perspective of label-awareness to reduce the performance gap for the neural tangent kernels and shows that the models trained with the proposed kernels better simulate NNs in terms of generalization ability and local elasticity.