Variational Deep Survival Machines: A Novel Approach for Survival Regression with Censored Outcomes

The proposed Variational Deep Survival Machine (VDSM) models the conditional survival function as a mixture of individual parametric survival distributions, while leveraging Variational Autoencoders (VAEs) to learn better clustering representations of the input covariates, leading to improved long-term survival time predictions.