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Found 3 papers, 1 papers with code
Federated Linear Contextual Bandits
This paper presents a novel federated linear contextual bandits model, where individual clients face different $K$-armed stochastic bandits coupled through common global parameters.
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs
Graph representation learning is a fundamental task in various applications that strives to learn low-dimensional embeddings for nodes that can preserve graph topology information.
Stochastic Linear Contextual Bandits with Diverse Contexts
In this paper, we investigate the impact of context diversity on stochastic linear contextual bandits.
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