5 papers
On Non-Stationary Dynamic Pricing: Adaptivity and Optimality
Feiyu Jiang, Zifeng Zhao
We study the contextual dynamic pricing problem under non-stationarity, where a firm sells products to sequentially arriving consumers that behave according to an unknown deman…
Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards
Yuwei Cheng, Zifeng Zhao, Haifeng Xu
Online advertising platforms use automated auctions to connect advertisers with potential customers, requiring effective bidding strategies to maximize profits. Accurate ad impact…
Contextual Dynamic Pricing: Algorithms, Optimality, and Local Differential Privacy Constraints
Zifeng Zhao, Feiyu Jiang, Yi Yu
We study contextual dynamic pricing problems where a firm sells products to sequentially-arriving consumers, behaving according to an unknown demand model. The firm aims to min…
Locally Private Nonparametric Contextual Multi-armed Bandits
Yuheng Ma, Feiyu Jiang, Zifeng Zhao +2
Motivated by privacy concerns in sequential decision-making on sensitive data, we address the challenge of nonparametric contextual multi-armed bandits (MAB) under local differenti…
Transfer Learning for Nonparametric Contextual Dynamic Pricing
Fan Wang, Feiyu Jiang, Zifeng Zhao +1
Dynamic pricing strategies are crucial for firms to maximize revenue by adjusting prices based on market conditions and customer characteristics. However, designing optimal pricing…