3 papers
stat.ML2018
PaloBoost: An Overfitting-robust TreeBoost with Out-of-Bag Sample Regularization Techniques
Yubin Park, Joyce C. Ho
Stochastic Gradient TreeBoost is often found in many winning solutions in public data science challenges. Unfortunately, the best performance requires extensive parameter tuning an…
stat.ML2016
ACDC: -Carving Decision Chain for Risk Stratification
Yubin Park, Joyce Ho, Joydeep Ghosh
In many healthcare settings, intuitive decision rules for risk stratification can help effective hospital resource allocation. This paper introduces a novel variant of decision tre…
stat.AP2015
DPM: A State Space Model for Large-Scale Direct Marketing
Yubin Park, Rajiv Khanna, Joydeep Ghosh +1
We propose a novel statistical model to answer three challenges in direct marketing: which channel to use, which offer to make, and when to offer. There are several potential appli…