3,435 research outputs found

    Value Discount of Business Groups Surrounding the Asia Financial Crisis: Evidence from Korean Chaebols

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    Asian Financial Crisis, Business Group, Chaebol, Diversification, Firm Value

    Electronic transport of graphene devices

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    Ph.DDOCTOR OF PHILOSOPH

    Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles

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    We study contextual linear bandit problems under uncertainty on features; they are noisy with missing entries. To address the challenges from the noise, we analyze Bayesian oracles given observed noisy features. Our Bayesian analysis finds that the optimal hypothesis can be far from the underlying realizability function, depending on noise characteristics, which is highly non-intuitive and does not occur for classical noiseless setups. This implies that classical approaches cannot guarantee a non-trivial regret bound. We thus propose an algorithm aiming at the Bayesian oracle from observed information under this model, achieving O~(dT)\tilde{O}(d\sqrt{T}) regret bound with respect to feature dimension dd and time horizon TT. We demonstrate the proposed algorithm using synthetic and real-world datasets.Comment: 30 page

    Disorder-free sputtering method on graphene

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    Deposition of various materials onto graphene without causing any disorder is highly desirable for graphene applications. Especially, sputtering is a versatile technique to deposit various metals and insulators for spintronics, and indium tin oxide to make transparent devices. However, the sputtering process causes damage to graphene because of high energy sputtered atoms. By flipping the substrate and using a high Ar pressure, we demonstrate that the level of damage to graphene can be reduced or eliminated in dc, rf, and reactive sputtering processes
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