3 papers
cs.LG2025
Multi-User Contextual Cascading Bandits for Personalized Recommendation
Jiho Park, Huiwen Jia
We introduce a Multi-User Contextual Cascading Bandit model, a new combinatorial bandit framework that captures realistic online advertising scenarios where multiple users interact…
cs.LG2025
Decentralized Contextual Bandits with Network Adaptivity
Chuyun Deng, Huiwen Jia
We consider contextual linear bandits over networks, a class of sequential decision-making problems where learning occurs simultaneously across multiple locations and the reward di…
math.OC2025
Decision-Dependent Distributionally Robust Optimization with Application to Dynamic Pricing
Chengrui Qu, Huiwen Jia, Pengcheng You
We consider decision-making problems under decision-dependent uncertainty (DDU), where the distribution of uncertain parameters depends on the decision variables and is only observ…