concentration inequality
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OptimalBestMarkovianArmIdentificationwith FixedConfidence
Wederiveinstance specific nonasymptotic and asymptotic lower bounds which generalize those of theIIDsetting.
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McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds
Rui (Ray) Zhang, Xingwu Liu, Yuyi Wang, Liwei Wang
We consider learning problems in which examples are dependent and their dependency relation is characterized by a graph.
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Learning to Screen
Alon Cohen, Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Shay Moran
Neural Information Processing Systems http://nips.cc/
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1 2 Related Work 3 3 Setup 4 3.1 Objective and Error Decomposition 4 4 Algorithms 5 5 Main Result 6 6 Proof Sketch 7 6.1 Offline Uncertainty 7 6.2 Online Uncertainty
In this section we discuss how to adapt existing linear bandit results (mostly in the regret setting) to sample complexity results.
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