Finale Doshi-Velez

Doshi-Velez interviewed in 2017 Finale Doshi-Velez is a computer scientist and the John L. Loeb Professor of Engineering and Applied Sciences at Harvard University. She works on machine learning, computational statistics and healthcare. Provided by Wikipedia
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  1. 1
    Bayesian nonparametric approaches for reinforcement learning in partially observable domains

    Bayesian nonparametric approaches for reinforcement learning in partially observable domains by Doshi-Velez, Finale

    Published 2012
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    Thesis
  2. 2
    Reinforcement learning with limited reinforcement: Using Bayes risk for active learning in POMDPs

    Reinforcement learning with limited reinforcement: Using Bayes risk for active learning in POMDPs by Pineau, Joelle, Doshi-Velez, Finale P, Roy, Nicholas

    Published 2017
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    Article
  3. 3
    A Bayesian nonparametric approach to modeling battery health

    A Bayesian nonparametric approach to modeling battery health by Doshi-Velez, Finale P., Roy, Nicholas, Joseph, Joshua Mason

    Published 2013
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    Article
  4. 4
    Bayesian Nonparametric Methods for Partially-Observable Reinforcement Learning

    Bayesian Nonparametric Methods for Partially-Observable Reinforcement Learning by Doshi-Velez, Finale P., Pfau, David, Wood, Frank, Roy, Nicholas

    Published 2015
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    Article
  5. 5
    A Bayesian Nonparametric Approach to Modeling Motion Patterns

    A Bayesian Nonparametric Approach to Modeling Motion Patterns by Joseph, Joshua Mason, Doshi-Velez, Finale P., Huang, Albert S., Roy, Nicholas

    Published 2011
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    Article
  6. 6
    Nonparametric Bayesian Policy Priors for Reinforcement Learning

    Nonparametric Bayesian Policy Priors for Reinforcement Learning by Doshi-Velez, Finale P., Wingate, David, Roy, Nicholas, Tenenbaum, Joshua B.

    Published 2011
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    Article
  7. 7
    Infinite dynamic bayesian networks

    Infinite dynamic bayesian networks by Doshi-Velez, Finale P., Wingate, David, Tenenbaum, Joshua B., Roy, Nicholas

    Published 2012
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  8. 8
    Unfolding physiological state: mortality modelling in intensive care units

    Unfolding physiological state: mortality modelling in intensive care units by Ghassemi, Marzyeh, Doshi-Velez, Finale, Joshi, Rohit, Rumshisky, Anna, Szolovits, Peter, Naumann, Tristan, Brimmer, Nicole J.

    Published 2016
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    Article

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