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cs.LG2026
Generative Distributionally Robust Optimization
Ziwei Zhang, Jonathan Yu-Meng Li, Zhihao Jin
Generative models are increasingly adopted in distributionally robust optimization (DRO), but existing approaches trade off model compatibility and adversarial structure: methods t…
cs.LG2026
Learning From Design Procedure To Generate CAD Programs for Data Augmentation
Yan-Ying Chen, Dule Shu, Matthew Hong +3
Large Language Models (LLMs) have demonstrated impressive capabilities in a wide range of code generation tasks. However, generating code for certain domains remains challenging. O…