3 problems

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Benning et al.'s conjecture on non-stationary isotropic covariance kernels in machine learning
Let a Gaussian process be used to model an error, cost, or risk function in machine learning, and consider covariance kernels that are isotropic but non-stationary. Benning et al.'…
Conjectureopengaussian-processes machine-learning positive-definite-kernelsarXiv posted 2 days ago
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Continuous analogue of the Kronecker-product independence-test theorem
Let $X$ be an $n$ -Cartesian product and let $Y$ be an $m$ -Cartesian product. Consider the continuous analogue of the generalized independence-test setting of Theorem 3.??, involvin…
Conjectureopenhilbert-space-embeddings independence-testing positive-definite-kernelsarXiv posted 2 days ago
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Extension of the positive-definite kernel interval theorem to compact metric spaces
Extension conjecture. Theorem should hold for any $s_0<D$ on arbitrary compact metric spaces.
Conjectureopenmetric-spaces positive-definite-kernels potential-theoryarXiv posted 2 days ago

Benning et al.'s conjecture on non-stationary isotropic covariance kernels in machine learning