4 citations · 8 across the 8 of their papers we have counts for
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cs.LG2020
Marginal Contribution Feature Importance -- an Axiomatic Approach for The Natural Case
Amnon Catav, Boyang Fu, Jason Ernst +2
When training a predictive model over medical data, the goal is sometimes to gain insights about a certain disease. In such cases, it is common to use feature importance as a tool…
cs.LG2020★ 3 cited
Explaining Groups of Points in Low-Dimensional Representations
Gregory Plumb, Jonathan Terhorst, Sriram Sankararaman +1
A common workflow in data exploration is to learn a low-dimensional representation of the data, identify groups of points in that representation, and examine the differences betwee…