Tamara Broderick

Tamara Ann Broderick is an American computer scientist at the Massachusetts Institute of Technology. She works on machine learning and Bayesian inference. Provided by Wikipedia
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  1. 1
    Fast and flexible selection with a single switch.
    by Tamara Broderick, David J C MacKay
    Published 2009-01-01
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    Article
  2. 2
    Approximate cross validation for sparse generalized linear models
    Other Authors: “...Tamara Broderick....”
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  3. 3
    Genomic variety estimation with Bayesian nonparametric hierarchies
    by Masoero, Lorenzo.
    Published 2019
    Other Authors: “...Tamara Broderick....”
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  4. 4
    Scaling Bayesian inference : theoretical foundations and practical methods
    Other Authors: “...Tamara Broderick....”
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  5. 5
    Reliable validation : new perspectives on adaptive data analysis and cross-validation
    by Elder, Samuel Scott
    Published 2019
    Other Authors: “...Jonathan Kelner and Tamara Broderick....”
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  6. 6
    Minimal I-MAP MCMC for scalable structure discovery in causal DAG models
    Other Authors: “...Tamara Broderick and Caroline Uhler....”
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