Ying Daisy Zhuo
Statistics and Probability · 2016–2019
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 10 citations into it
Whom Ying Daisy Zhuo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Ying Daisy Zhuo overall
Papers from Ying Daisy Zhuo's perspective
Ordered by how strongly the researchers Ying Daisy Zhuo trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Regularization Paths for Generalized Linear Models via Coordinate Descent
- Best Subset Selection via a Modern Optimization Lens
- Robust Classification with Interval Data
- Robustness and Regularization of Support Vector Machines
- Robust solutions of Linear Programming problems contaminated with uncertain data (Mathematical programming)
- Computing in Operations Research Using Julia (INFORMS journal on computing)
- Support Vector Machines Under Adversarial Label Noise
- Theory and Applications of Robust Optimization
- Least quantile regression via modern optimization
Their papers
- Robust Classification (2019) — 107 citations
- Personalized Diabetes Management Using Electronic Medical Records (2016) — 138 citations