2024
Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization
NeurIPS 2024poster
Training machine learning and statistical models often involves optimizing a data-driven risk criterion. The risk is usually computed with respect to the empirical data distribution, but this may result in poor and unstable out-of-sample performance due to distributional uncertainty. In the spirit o…