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…
stat.ME2026
Simultaneous Inference in Multiple Matrix-Variate Graphs for High-Dimensional Neural Recordings
Zongge Liu, Heejong Bong, Zhao Ren +2
We study simultaneous inference for multiple matrix-variate Gaussian graphical models in high-dimensional settings. Such models arise when spatiotemporal data are collected across…