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Demand Balancing in Primal-Dual Optimization for Blind Network Revenue Management
This paper proposes a practically efficient algorithm with optimal theoretical regret which solves the classical network revenue management (NRM) problem with unknown, nonparametric demand.
Differential Privacy in Personalized Pricing with Nonparametric Demand Models
In the recent decades, the advance of information technology and abundant personal data facilitate the application of algorithmic personalized pricing.
Context-Based Dynamic Pricing with Online Clustering
We consider a context-based dynamic pricing problem of online products, which have low sales.
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