01이 칸의 논문
- Convex Surrogate Loss Functions for Contextual Pricing with Transaction Data
- Discrete Choice via Sequential Search
- Collaborative Learning and Decision Making on Pricing and Recommendation: A Simple Framework for Planning
- Personalized Dynamic Pricing with Machine Learning: High-Dimensional Features and Heterogeneous Elasticity
- Meta Dynamic Pricing: Transfer Learning Across Experiments
- A Simple Rule for Pricing with Limited Knowledge of Demand
- Dynamic Learning and Pricing with Model Misspecification
- How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove–Arrow Framework
02같은 주제, 다른 방법
- A Model of Two Learning Processes
- An Integer Programming Approach for Quick-Commerce Assortment Planning
- Capacity and Pricing Management with Demand Learning
- Exact Logit-Based Product Design
- Assortment Optimization for the Multinomial Logit Model with Repeated Customer Interactions
- Utility Fairness in Contextual Dynamic Pricing with Demand Learning
- Assortment Optimization with α-Similar Substitutes: Insights from Customer Browsing Patterns
- Learning Mixed Multinomial Logits with Provable Guarantees and Its Applications in Multiproduct Pricing
- Pricing Experimental Design: Causal Effect, Expected Revenue and Tail Risk
- Dynamic Pricing for Two-Sided Marketplaces with Offer Expiration