The New Era of Dynamic Pricing: Synergizing Supervised Learning and Quadratic Programming
<|reference_start|>The New Era of Dynamic Pricing: Synergizing Supervised Learning and Quadratic Programming: In this paper, we explore a novel combination of supervised learning and quadratic programming to refine dynamic pricing models in the car rental industry. We utilize dynamic modeling of price elasticity, informed by ordinary least squares (OLS) metrics such as p-values, homoscedasticity, error normality. These metrics, when their underlying assumptions hold, are integral in guiding a quadratic programming agent. The program is tasked with optimizing margin for a given finite set target.<|reference_end|>
@article{bramao2024the,
    title={The New Era of Dynamic Pricing: Synergizing Supervised Learning and
  Quadratic Programming},
    author={Gustavo Bramao, Ilia Tarygin},
    journal={arXiv preprint arXiv:2402.14844},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.14844},
    primaryClass={math.OC cs.LG}
}