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cs.LG2020★ 2 cited
Survival regression with accelerated failure time model in XGBoost
Avinash Barnwal, Hyunsu Cho, Toby Dylan Hocking
Survival regression is used to estimate the relation between time-to-event and feature variables, and is important in application domains such as medicine, marketing, risk manageme…
cs.LG2019
Block-distributed Gradient Boosted Trees
Theodore Vasiloudis, Hyunsu Cho, Henrik Boström
The Gradient Boosted Tree (GBT) algorithm is one of the most popular machine learning algorithms used in production, for tasks that include Click-Through Rate (CTR) prediction and…