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20142023
most citedAll Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously

1.2k citations · 1.2k across the 13 of their papers we have counts for

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cs.LG2022★ 2 cited

Gaussian Latent Dirichlet Allocation for Discrete Human State Discovery

Congyu Wu, Aaron Fisher, David Schnyer

In this article we propose and validate an unsupervised probabilistic model, Gaussian Latent Dirichlet Allocation (GLDA), for the problem of discrete state discovery from repeated,…

cs.LG2021

Optimizing Rescoring Rules with Interpretable Representations of Long-Term Information

Aaron Fisher

Analyzing temporal data (e.g., wearable device data) requires a decision about how to combine information from the recent and distant past. In the context of classifying sleep stat…