3 papers
stat.ML2026
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…
math.OC2025
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…
cs.LG2025
Multi-Graph Inductive Representation Learning for Large-Scale Urban Rail Demand Prediction under Disruptions
Dang Viet Anh Nguyen, J. Victor Flensburg, Fabrizio Cerreto +4
With the expansion of cities over time, URT (Urban Rail Transit) networks have also grown significantly. Demand prediction plays an important role in supporting planning, schedulin…