Weighted Training for Cross-Task Learning
Shuxiao Chen, Koby Crammer, Hangfeng He, Dan Roth, and Weijie Su. 2021

Estimating and Improving Dynamic Treatment Regimes With a Time-Varying Instrumental Variable
Shuxiao Chen and Bo Zhang. 2021.

A Theorem of the Alternative for Personalized Federated Learning
Shuxiao Chen, Qinqing Zheng, Qi Long, and Weijie Su. 2021.

Global and Individualized Community Detection in Inhomogeneous Multilayer Networks
Shuxiao Chen, Sifan Liu, and Zongming Ma. 2020.

Journal publications

A Group-Theoretic Framework for Data Augmentation
Shuxiao Chen, Edgar Dobriban, and Jane H. Lee.
Journal of Machine Learning Research, 2020.
* Preliminary version accepted to NeurIPS 2020 as oral presentation.

Valid Inference Corrected for Outlier Removal
Shuxiao Chen, and Jacob Bien.
Journal of Computational and Graphical Statistics, 2020.

Conference publications

Federated f-Differential Privacy
Qinqing Zheng, Shuxiao Chen, Qi Long, and Weijie Su.
Artificial Intelligence and Statistics (AISTATS), 2021.

Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity
Shuxiao Chen, Hangfeng He, and Weijie Su.
Conference on Neural Information Processing Systems (NeurIPS), 2020.