3 papers
stat.ML2024
Deep Generative Demand Learning for Newsvendor and Pricing
Shijin Gong, Huihang Liu, Xinyu Zhang
We consider data-driven inventory and pricing decisions in the feature-based newsvendor problem, where demand is influenced by both price and contextual features and is modeled wit…
stat.ME2024
Semi-supervised learning using copula-based regression and model averaging
Ziwen Gao, Huihang Liu, Xinyu Zhang
The available data in semi-supervised learning usually consists of relatively small sized labeled data and much larger sized unlabeled data. How to effectively exploit unlabeled da…
stat.ME2024
Representation Transfer Learning for Semiparametric Regression
Baihua He, Huihang Liu, Xinyu Zhang +1
We propose a transfer learning method that utilizes data representations in a semiparametric regression model. Our aim is to perform statistical inference on the parameter of prima…