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Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee. (arXiv:2206.10477v2 [cs.LG] UPDATED)
June 29, 2022, 1:11 a.m. | George H. Chen
stat.ML updates on arXiv.org arxiv.org
Kernel survival analysis models estimate individual survival distributions
with the help of a kernel function, which measures the similarity between any
two data points. Such a kernel function can be learned using deep kernel
survival models. In this paper, we present a new deep kernel survival model
called a survival kernet, which scales to large datasets in a manner that is
amenable to model interpretation and also theoretical analysis. Specifically,
the training data are partitioned into clusters based on a …
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