4 papers
Robustly Reliable Learning for Regression
Avrim Blum, Anh Tuan Nguyen
We introduce the problem of robustly reliable learning for the regression setting in adversarial environments. Given a test point , a training dataset of data poi…
Tight Bounds for Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function
Anh Tuan Nguyen, Viet Anh Nguyen
Data-driven algorithm design frames hyperparameter tuning as a statistical learning problem, but establishing generalization guarantees remains challenging due to the implicit, non…
Provably Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function
Tung Quoc Le, Anh Tuan Nguyen, Viet Anh Nguyen
Data-driven algorithm design automates hyperparameter tuning, but its statistical foundations remain limited because model performance can depend on hyperparameters in implicit and…
Provably data-driven projection method for quadratic programming
Anh Tuan Nguyen, Viet Anh Nguyen
Projection methods aim to reduce the dimensionality of the optimization instance, thereby improving the scalability of high-dimensional problems. Recently, Sakaue and Oki proposed…