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stat.ML2026
Generative Adversarial Regression (GAR): Learning Conditional Risk Scenarios
Saeed Asadi, Jonathan Yu-Meng Li
We propose Generative Adversarial Regression (GAR), a framework for learning conditional risk scenarios through generators aligned with downstream risk objectives. GAR builds on a…
stat.ML2025
Conditional Risk Minimization with Side Information: A Tractable, Universal Optimal Transport Framework
Xinqiao Xie, Jonathan Yu-Meng Li
Conditional risk minimization arises in high-stakes decisions where risk must be assessed in light of side information, such as stressed economic conditions, specific customer prof…