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Yang-Da Bei

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#machine learning Preprint Sep 2026

Benign Loss Landscapes Can Coexist with Worst-Case Hardness

This work studies tree tensor networks (TTNs), a model class that generalizes deep linear networks and Tucker decompositions and shows they embed arbitrary read-once Boolean formulas, and thus contain polynomial-size targets that cannot be learned by gradient descent in polynomial time under the same mechanism as neura...

Zach Furman, Stephan Wäldchen, Yang-Da Bei et al. · 0 citations

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