Yu-Chen Gao

Leveraging High-Performance Scientific Computing for the Limited-Memory Hyperparameter Tuning of Large-Scale Unconstrained Continuous Optimization Solvers

Optimization algorithms rely on hyperparameters that strongly influence convergence and computational performance. In practice, these values are often selected using fixed defaults or heuristic methods, potentially producing suboptimal results. This work investigates a data-driven selection of the L-BFGS memory paramet...