2 papers
stat.ML2026
Isotonic Survival Regression: Calibrated Survival Distributions from Deep Cox Models
Anchit Jain, Kevin Zhang, Stephen Bates
Time-to-event data is widespread across the life sciences and engineering, but it is typically encountered together with censoring, which complicates the application of standard ma…
stat.ME2026
Causal Inference with Categorical Unobserved Confounder via Mixture Learning
Aytijhya Saha, Stephen Bates, Devavrat Shah
Unobserved confounding is a fundamental challenge for estimating causal effects. To address unobserved confounding, recent literature has turned to two different approaches -- prox…