2 problems
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Extension of fractional-posterior results to ordinary posteriors
For Bayesian models such as deep Gaussian processes, the paper distinguishes fractional posteriors with likelihood power from the ordinary posterior with . Ordinar…
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Random evolving neural tangent kernel conjecture for MoGPs
Random evolving neural tangent kernel conjecture. In the MoGP case, when the Lévy measure is non-trivial, the infinite-width limit should yield a random kernel, and this kernel sho…