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- W2964194630 abstract "Motivated by issues of security analysis for power systems, we analyze a new problem, called optimal discovery with probabilistic expert advice. We address it with an algorithm based on the optimistic paradigm and the Good-Turing missing mass estimator. We show that this strategy attains the optimal discovery rate in a macroscopic limit sense, under some assumptions on the probabilistic experts. We also provide numerical experiments suggesting that this optimal behavior may still hold under weaker assumptions." @default.
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- W2964194630 date "2012-12-01" @default.
- W2964194630 modified "2023-10-18" @default.
- W2964194630 title "Optimal discovery with probabilistic expert advice" @default.
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- W2964194630 doi "https://doi.org/10.1109/cdc.2012.6426724" @default.
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