EnsembleSampling_Final

Aug-16-2025, 16:31:57 GMT–Neural Information Processing Systems

Ensemble sampling serves as a practical approximation to Thompson sampling when maintaining an exact posterior distribution over model parameters is computationally intractable. In this paper, we establish a regret bound that ensures desirable behavior when ensemble sampling is applied to the linear bandit problem.

data mining, machine learning, reinforcement learning, (21 more...)

Neural Information Processing Systems

Aug-16-2025, 16:31:57 GMT

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