1 citations · 1 across the 2 of their papers we have counts for
2 papers
math.OC2026
Achieving First-Order Statistical Improvements in Data-Driven Optimization: From No-Free-Lunch to Amplified Decision Perturbation
Henry Lam, Tianyu Wang
Recent proliferation of data-optimization integration has led to a range of methods that aim to improve the statistical performance of data-driven optimization decisions. However,…
math.ST2024★ 1 cited
Is Cross-Validation the Gold Standard to Evaluate Model Performance?
Garud Iyengar, Henry Lam, Tianyu Wang
Cross-Validation (CV) is the default choice for evaluating the performance of machine learning models. Despite its wide usage, their statistical benefits have remained half-underst…