and first (to my knowledge) made the link to a limiting infinite-width Gaussian process (which later evolved into Neural Tangent Kernel work.)
This is true. Not only that, but the use of Gaussian processes in machine learning comes from Radford Neal’s thesis and that they’re the limiting behavior of wide NNs in the first place.
This is true. Not only that, but the use of Gaussian processes in machine learning comes from Radford Neal’s thesis and that they’re the limiting behavior of wide NNs in the first place.