3 papers
cs.AI2026
Inverse Theory of Mind Modeling for Content Recommendation: From Web Browsing to Dynamic Intelligent Interfaces
Mengyu Chen, Feiyu Lu, Chun-Fu Chen +2
Modern recommender systems treat observed actions as reliable proxies for user preferences, yet interactions often reflect exploration or comparison rather than stable preference e…
cs.LG2026
Collaborative Yet Personalized Policy Training: Single-Timescale Federated Actor-Critic
Leo Muxing Wang, Pengkun Yang, Lili Su
Despite the popularity of the actor-critic method and the practical needs of collaborative policy training, existing works typically either overlook environmental heterogeneity or…
cs.LG2026
On the Power of Source Screening for Learning Shared Feature Extractors
Leo Muxing Wang, Connor Mclaughlin, Lili Su
Learning with shared representation is widely recognized as an effective way to separate commonalities from heterogeneity across various heterogeneous sources. Most existing work i…