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stat.ME2026
Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage
Wenbo Jing, Xi Chen, Yaqi Duan +2
Modern statistical learning problems often involve multiple related data sets, where learning efficiency on a target set can be improved by utilizing related source sets, while het…
stat.ME2026
Transfer Learning for Contextual Joint Assortment-Pricing under Cross-Market Heterogeneity
Elynn Chen, Xi Chen, Yi Zhang
We study transfer learning for contextual joint assortment-pricing under a multinomial logit choice model with bandit feedback. A seller operates across multiple related markets an…
stat.ME2024
Dynamic Contextual Pricing with Doubly Non-Parametric Random Utility Models
Elynn Chen, Xi Chen, Lan Gao +1
In the evolving landscape of digital commerce, adaptive dynamic pricing strategies are essential for gaining a competitive edge. This paper introduces novel {\em doubly nonparametr…