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cs.LG2023
Likelihood Ratio Confidence Sets for Sequential Decision Making
Nicolas Emmenegger, Mojmír Mutný, Andreas Krause
Certifiable, adaptive uncertainty estimates for unknown quantities are an essential ingredient of sequential decision-making algorithms. Standard approaches rely on problem-depende…
stat.ML2023
Anytime Model Selection in Linear Bandits
Parnian Kassraie, Nicolas Emmenegger, Andreas Krause +1
Model selection in the context of bandit optimization is a challenging problem, as it requires balancing exploration and exploitation not only for action selection, but also for mo…