2 papers
stat.ML2026
Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models
Shijin Gong, Baihua He, Xinyu Zhang
Conditional generative models have emerged as powerful tools for sampling from target conditional distributions, driving substantial advances across a wide range of scientific and…
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…