Research

My research is currently supported by the National Institutes of Health (R01 GM123993).

Statistical Methodology

Controlling Costs: Feature Selection on a Budget
Guo Yu, Daniela Witten, Jacob Bien.
Submitted.

Reluctant Interaction Modeling [software][vignette]
Guo Yu, Jacob Bien, Ryan Tibshirani.
Submitted.

Discussion of ``CARS: Covariate assisted ranking and screening for large-scale two-sample inference'' by Cai et,al. [supplementary material]
Guo Yu, Jacob Bien, Daniela Witten.
Journal of the Royal Statistical Society: Series B (Statistical Methodology). 81(2), 187-234.

Estimating the Error Variance in a High-Dimensional Linear Model [software][vignette]
Guo Yu, Jacob Bien.
Biometrika 106, no.3 (2019): 533-546.

Learning Local Dependence In Ordered Data [software][vignette]
Guo Yu, Jacob Bien.
Journal of Machine Learning Research. 18(42), 1-60.

Applications

Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Budget
Mingfei Gao, Zizhao Zhang, Guo Yu , Sercan Ö Arık, Larry S. Davis, Tomas Pfister.
Under review.

Deepview: Virtual Disk Failure Diagnosis and Pattern Detection for Azure [slides]
Qiao Zhang, Guo Yu, Chuanxiong Guo, Yingnong Dang, Nick Swanson, Xinsheng Yang, Randolph Yao, Murali Chintalapati, Arvind Krishnamurthy, Tom Anderson.
15th USENIX Symposium on Networked Systems Design and Implementation (NSDI 2018)