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Author: White, Martha Subject: Machine learning Languages: English Collections: Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations

  • A general framework for reducing variance in agent evaluation

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    Spring 2010

    White, Martha

    In this work, we present a unified, general approach to variance reduction in agent evaluation using machine learning to minimize variance. Evaluating an agent's performance in a stochastic setting is necessary for agent development, scientific evaluation, and competitions. Traditionally,...

  • Regularized factor models

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    Spring 2015

    White, Martha

    This dissertation explores regularized factor models as a simple unification of machine learn- ing problems, with a focus on algorithmic development within this known formalism. The main contributions are (1) the development of generic, efficient algorithms for a subclass of regularized...

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