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cs.LG2025
On the optimal regret of collaborative personalized linear bandits
Bruce Huang, Ruida Zhou, Lin F. Yang +1
Stochastic linear bandits are a fundamental model for sequential decision making, where an agent selects a vector-valued action and receives a noisy reward with expected value give…
cs.LG2024
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
Kaan Ozkara, Bruce Huang, Ruida Zhou +1
Statistical heterogeneity of clients' local data is an important characteristic in federated learning, motivating personalized algorithms tailored to the local data statistics. Tho…