Testing VC dimension & Rademacher complexity generalization error bounds for a simple perceptron and a rectangular classifier.
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Updated
Aug 4, 2025 - Python
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statistical-learning-theory
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Block-Term Operator Theory: why block-term rank-(L,L,1) neural operators generalize better than CP / Tucker / TT at matched capacity, not by more expressivity but as a tighter inductive bias. A least-squares generalization separation Theta((RL - mu_band) K / n), a complete variance-ordering theorem across all four tensor formats, an adaptive for...
machine-learning theory tensor-decomposition cp-decomposition random-matrix-theory tucker-decomposition double-descent operator-learning generalization-theory neural-operators fourier-neural-operator block-term-decomposition inductive-bias statistical-learning-theory
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Jul 18, 2026 - Python
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