Author

H. Lam

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Preprint Aug 2026

Quantification and Decomposition of Uncertainty Using Sliced-Normal Distribution: With Applications to NASA Data

This paper reformulates SN parameter estimation as a convex optimization problem over a positive semidefinite matrix, replacing the original nonconvex likelihood search with a formulation amenable to standard optimization tools, and clarify the expressive power of the SN class by connecting polynomial log-density model...

Arindam Roychowdhury, Luis G. Crespo, H. Lam · 0 citations

Preprint Jul 2026

Near-Oracle Robustification of Finite-Difference Stochastic Gradient Estimators via Cheap Pilot Calibration

It is shown that, by pilot-estimating these model quantities using a negligible fraction of the simulation budget, substantial robustness is attained in the resulting FD estimators, and how such an approach is competitive against any choices of prescribed perturbation size, even if they are designed to be minimax-optim...

Haidong Li, H. Lam, Yijie Peng · 0 citations