3 papers
stat.ML2026
Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming
Tung Quoc Le, Anh Tuan Nguyen, Viet Anh Nguyen
Lagrangian Relaxation (LR) is a powerful technique for solving large-scale Mixed Integer Linear Programming (MILP), particularly those with decomposable structures, such as vehicle…
cs.LG2025
Algorithm Configuration for Structured Pfaffian Settings
Maria-Florina Balcan, Anh Tuan Nguyen, Dravyansh Sharma
Data-driven algorithm design automatically adapts algorithms to specific application domains, achieving better performance. In the context of parameterized algorithms, this approac…
cs.LG2025
Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function
Maria-Florina Balcan, Anh Tuan Nguyen, Dravyansh Sharma
Modern machine learning algorithms, especially deep learning based techniques, typically involve careful hyperparameter tuning to achieve the best performance. Despite the surge of…