3 papers
cs.LG2026
E-QRGMM: Efficient Generative Metamodeling for Covariate-Dependent Uncertainty Quantification
Zhiyang Liang, Qingkai Zhang
Covariate-dependent uncertainty quantification in simulation-based inference is crucial for high-stakes decision-making but remains challenging due to the limitations of existing m…
cs.LG2026
Learning to Simulate: Generative Metamodeling via Quantile Regression
L. Jeff Hong, Yanxi Hou, Qingkai Zhang +1
Stochastic simulation models effectively capture complex system dynamics but are often too slow for real-time decision-making. Traditional metamodeling techniques learn relationshi…
cs.LG2025
Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance
Qingkai Zhang, L. Jeff Hong, Houmin Yan
The rapid expansion of cross-border e-commerce (CBEC) has created significant opportunities for small- and medium-sized sellers, yet financing remains a critical challenge due to t…