01이 칸의 논문
- A Model of Two Learning Processes
- Discrete Choice via Sequential Search
- Utility Fairness in Contextual Dynamic Pricing with Demand Learning
- Pricing Experimental Design: Causal Effect, Expected Revenue and Tail Risk
- Contextual Offline Demand Learning and Pricing with Separable Models
- The Power of Simple Menus in Robust Selling Mechanisms
- Optimal Contracts for Time-Inconsistent Consumers with Heterogeneous Beliefs
- Privacy-Preserving Personalized Revenue Management
- Optimal Pricing with a Single Point
- Bounds and Heuristics for Multiproduct Pricing
- Sales-Based Rebate Design
- The Value of Observing the Buyers’ Arrival Time in Dynamic Pricing
- Dynamic Pricing with Demand Learning and Reference Effects
- Dynamic Pricing with Online Reviews
- When Is Assortment Optimization Optimal?
- Providing Data Samples for Free
- Comment on “Modeling Purchasing Behavior with Sudden ‘Death’: A Flexible Customer Lifetime Model”
- Comment on “Is Leasing Greener Than Selling?” and Remark on the Focal Point Analysis in Durable Goods Models
- Sales Effort Management Under All-or-Nothing Constraint
- Loot Box Pricing and Design
- Dynamic Pricing (and Assortment) Under a Static Calendar
- A Simple Rule for Pricing with Limited Knowledge of Demand
- Responsive Pricing of Fashion Products: The Effects of Demand Learning and Strategic Consumer Behavior
- On the Efficacy of Static Prices for Revenue Management in the Face of Strategic Customers
- Design and Dynamic Pricing of Vertically Differentiated Inventories
- Welfare Analysis of Dynamic Pricing
- Cardinality Bundling with Spence–Mirrlees Reservation Prices
- Efficient Allocation and Pricing of Multifeatured Items
- The Impact of Consumer Search Cost on Assortment Planning and Pricing
- Are Markets with Loss-Averse Consumers More Sensitive to Losses?
02같은 주제, 다른 방법
- Convex Surrogate Loss Functions for Contextual Pricing with Transaction Data
- 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
- Assortment Optimization with α-Similar Substitutes: Insights from Customer Browsing Patterns
- Learning Mixed Multinomial Logits with Provable Guarantees and Its Applications in Multiproduct Pricing
- Dynamic Pricing for Two-Sided Marketplaces with Offer Expiration
- Collaborative Learning and Decision Making on Pricing and Recommendation: A Simple Framework for Planning
- The Click-Based MNL Model: A Framework for Modeling Click Data in Assortment Optimization