Expanding Safe Sets with Learning-Based Barrier Functions and Reachability
T. Matthews, Maheshwari N. Kumar, Azra Begzadić et al.
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A Unified Perspective on Conformal Prediction and Wasserstein Distributionally Robust Optimization for Uncertainty Quantification
A unified probabilistic perspective on CP and DRO is developed by viewing both as ways to turn finite calibration data into a data-dependent quantile estimator that a test score falls below with high probability.
Kehan Long, Yi-Qi Zhao, Pol Mestres et al.
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