3 papers
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.IT2025
On the Price of Decentralization in Decentralized Detection
Bruce, Huang, I-Hsiang Wang
Fundamental limits on the error probabilities of a family of decentralized detection algorithms (eg., the social learning rule proposed by Lalitha et al. over directed graphs are i…
cs.LG2025
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…