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cs.LG2026
From Small to Large: A Graph Convolutional Network Approach for Solving Assortment Optimization Problems
Guokai Li, Pin Gao, Stefanus Jasin +1
Assortment optimization seeks to select a subset of substitutable products, subject to constraints, to maximize expected revenue. The problem is NP-hard due to its combinatorial an…
cs.LG2025
Adaptive Risk Mitigation in Demand Learning
Parshan Pakiman, Boxiao Chen, Selvaprabu Nadarajah +1
We study dynamic pricing of a product with an unknown demand distribution over a finite horizon. Departing from the standard no-regret learning environment in which prices can be a…