SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks

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Abstract:

In this paper, we propose a flexible model for survival analysis using neural networks along with scalable optimization algorithms. One key technical challenge for directly applying maximum likelihood estimation (MLE) to censored data is that evaluating the objective function and its gradients with respect to model parameters requires t...More

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