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06/17/2020
Revisiting complexity and the bias-variance tradeoff
The recent success of high-dimensional models, such as deep neural netwo...
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05/16/2020
Curating a COVID-19 data repository and forecasting county-level death counts in the United States
As the COVID-19 outbreak continues to evolve, accurate forecasting conti...
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03/04/2020
Transformation Importance with Applications to Cosmology
Machine learning lies at the heart of new possibilities for scientific d...
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09/30/2019
Interpretations are useful: penalizing explanations to align neural networks with prior knowledge
For an explanation of a deep learning model to be effective, it must pro...
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05/18/2019
Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees
Tree ensembles, such as random forests and AdaBoost, are ubiquitous mach...
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01/14/2019
Interpretable machine learning: definitions, methods, and applications
Machine-learning models have demonstrated great success in learning comp...
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06/14/2018
Hierarchical interpretations for neural network predictions
Deep neural networks (DNNs) have achieved impressive predictive performa...
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09/09/2017
