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cs.LG2025
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…
cs.LG2025★ 1 cited
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…
cs.LG2024
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…