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Subject: Regression Departments: Department of Computing Science Item type: Thesis Collections: Graduate and Postdoctoral Studies (GPS), Faculty of

  • Distributional Losses for Regression

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    Spring 2019

    Imani, Ehsan

    In this thesis we introduce a new loss for regression, the Histogram Loss. There is some evidence that, in the problem of sequential decision making, estimating the full distribution of return offers a considerable gain in performance, even though only the mean of that distribution is used in...

  • Using Regret Estimation to Solve Games Compactly

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    Spring 2016

    Morrill, Dustin R

    Game theoretic solution concepts, such as Nash equilibrium strategies that are optimal against worst case opponents, provide guidance in finding desirable autonomous agent behaviour. In particular, we wish to approximate solutions to complex, dynamic tasks, such as negotiation or bidding in...

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