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05/21/2023
When are ensembles really effective?
Ensembling has a long history in statistical data analysis, with many im...
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02/06/2022
Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data
The search for effective and robust generalization metrics has been the ...
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07/23/2021
Taxonomizing local versus global structure in neural network loss landscapes
Viewing neural network models in terms of their loss landscapes has a lo...
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06/07/2021
Evaluating State-of-the-Art Classification Models Against Bayes Optimality
Evaluating the inherent difficulty of a given data-driven classification...
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06/22/2020
Good linear classifiers are abundant in the interpolating regime
Within the machine learning community, the widely-used uniform convergen...
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10/22/2019
