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Preliminaries

VC Theory Reproducing Kernel Hilbert Space (RKHS)Hilbert-Schmidt independence criterion (HSIC)

Methmatic Tools

Centered Kernel Alignment (CKA)Mode Connectivity (MC)Hessian Matrix Heavy Tail Self-regression (HT-SR)

Applications

Taxonomizing local versus global structure in neural network loss landscapes Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data A Three-regime Model of Network Pruning Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training When are ensembles really effective

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Updated on: 2024-04-23

Hessian Matrix

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Mode Connectivity (MC)

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Heavy Tail Self-regression (HT-SR)

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