3 papers
cs.LG2026
ICODEN: Ordinary Differential Equation Neural Networks for Interval-Censored Data
Haoling Wang, Lang Zeng, Tao Sun +2
Predicting time-to-event outcomes when event times are interval censored is challenging because the exact event time is unobserved. Many existing survival analysis approaches for i…
stat.ML2024
Mini-batch Estimation for Deep Cox Models: Statistical Foundations and Practical Guidance
Lang Zeng, Weijing Tang, Zhao Ren +1
The stochastic gradient descent (SGD) algorithm has been widely used to optimize deep Cox neural network (Cox-NN) by updating model parameters using mini-batches of data. We show t…
stat.ML2023
tdCoxSNN: Time-Dependent Cox Survival Neural Network for Continuous-time Dynamic Prediction
Lang Zeng, Jipeng Zhang, Wei Chen +1
The aim of dynamic prediction is to provide individualized risk predictions over time, which are updated as new data become available. In pursuit of constructing a dynamic predicti…