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Found 3 papers, 2 papers with code
Piecewise-Stationary Combinatorial Semi-Bandit with Causally Related Rewards
In our nonstationary environment, variations in the base arms' distributions, causal relationships between rewards, or both, change the reward generation process.
Piecewise-Stationary Multi-Objective Multi-Armed Bandit with Application to Joint Communications and Sensing
Without this assumption, the regret bound of our algorithm is $\gamma_T\log(T)$.
DONE: Distributed Approximate Newton-type Method for Federated Edge Learning
In this work, we propose DONE, a distributed approximate Newton-type algorithm with fast convergence rate for communication-efficient federated edge learning.
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