2014 - 2015

Content tagged with 2014 - 2015

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Scalable Bayes

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Robust and scalable inference using median posteriors

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Why experimenters should not randomize, and what they should do instead

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Data: A Love Story: How data science, and a great deal of tinkering, created the biggest dating site in the U.S.

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Algorithms for Interpretable Machine Learning

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On the Role of Common Information In Decision-Making Under Uncertainty

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Rare Event Estimation Based On Large Deviation Theory

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Comparative effectiveness of dynamic treatment strategies: The renaissance of the parametric g-formula

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The Johns Hopkins Data Science Specialization, the most successful MOOC program in history