2 papers
stat.ML2026
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…
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…