2 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ME2026
Censored broken adaptive ridge rank regression via induced smoothing
Suyeon Seon, Dipankar Bandyopadhyay, Seongoh Park +2
Broken adaptive ridge (BAR) penalty approximates -regularization through iterative reweighting of L2 penalties. This penalty enjoys both the oracle property and the grouping e…
stat.ME2025
Rank estimation for the accelerated failure time model with partially interval-censored data
Taehwa Choi, Sangbum Choi, Dipankar Bandyopadhyay
This paper presents a unified rank-based inferential procedure for fitting the accelerated failure time model to partially interval-censored data. A Gehan-type monotone estimating…
cs.LG2023★ 2 cited
Towards Flexible Time-to-event Modeling: Optimizing Neural Networks via Rank Regression
Hyunjun Lee, Junhyun Lee, Taehwa Choi +2
Time-to-event analysis, also known as survival analysis, aims to predict the time of occurrence of an event, given a set of features. One of the major challenges in this area is de…