Unifies robust learning methods into a design space of sequential stages and stances, enabling joint hyperparameter optimization that matches best single-method baselines on tabular, image, and reward benchmarks.
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Unification and Optimization of Robust Supervised Learning
Unifies robust learning methods into a design space of sequential stages and stances, enabling joint hyperparameter optimization that matches best single-method baselines on tabular, image, and reward benchmarks.