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Guaranteeing uncertainty quantification in dynamic environments is now possible even when feedback is strategically withheld by an adversary.
Optimal transport provides a surprisingly tight and efficiently computable bound on transductive generalization in graph node classification, revealing how GNN depth impacts representation geometry.
