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Found 2 papers, 1 papers with code
A PAC-Bayesian Framework for Optimal Control with Stability Guarantees
Based on these bounds, we propose a new method for designing optimal controllers, offering a principled way to incorporate prior knowledge into the synthesis process, which aids in improving the control policy and mitigating overfitting.
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach
Personalized federated learning (PFL) goes one step further by adapting the global model to each client, enhancing the model's fit for different clients.
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