Sample-then-optimize posterior sampling for Bayesian linear models

By Alexander G. de G. Matthews. 2017

Subfields: Probabilistic & Bayesian Methods

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In Probabilistic & Bayesian Methods

1. Clément Hongler
2. Franck Gabriel
3. Arthur Jacot

Citations in the corpus

• Neural Tangent Kernel: Convergence and Generalization in Neural Networks (2018, background): “At initialization, artificial neural networks (ANNs) are equivalent to Gaussian processes in the infinite-width limit (16; 4; 7; 13; 6), thus connecting them to kernel methods.”