3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Shapley Based Residual Decomposition for Instance Analysis
Tommy Liu, Amanda Barnard
In this paper, we introduce the idea of decomposing the residuals of regression with respect to the data instances instead of features. This allows us to determine the effects of e…
cs.LG2023★ 3 cited
Exploring the cloud of feature interaction scores in a Rashomon set
Sichao Li, Rong Wang, Quanling Deng +1
Interactions among features are central to understanding the behavior of machine learning models. Recent research has made significant strides in detecting and quantifying feature…
cs.LG2022
Variance Tolerance Factors For Interpreting ALL Neural Networks
Sichao Li, Amanda Barnard
Black box models only provide results for deep learning tasks, and lack informative details about how these results were obtained. Knowing how input variables are related to output…