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Consistent Sufficient Explanations and Minimal Local Rules for
  explaining regression and classification models

Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models

8 November 2021
Salim I. Amoukou
Nicolas Brunel
    FAtt
    LRM
ArXivPDFHTML

Papers citing "Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models"

4 / 4 papers shown
Title
Local and Regional Counterfactual Rules: Summarized and Robust Recourses
Local and Regional Counterfactual Rules: Summarized and Robust Recourses
Salim I. Amoukou
Nicolas Brunel
26
0
0
29 Sep 2022
A Sea of Words: An In-Depth Analysis of Anchors for Text Data
A Sea of Words: An In-Depth Analysis of Anchors for Text Data
Gianluigi Lopardo
F. Precioso
Damien Garreau
24
6
0
27 May 2022
Have We Learned to Explain?: How Interpretability Methods Can Learn to
  Encode Predictions in their Interpretations
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations
N. Jethani
Mukund Sudarshan
Yindalon Aphinyanagphongs
Rajesh Ranganath
FAtt
82
70
0
02 Mar 2021
MDA for random forests: inconsistency, and a practical solution via the
  Sobol-MDA
MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA
Clément Bénard
Sébastien Da Veiga
Erwan Scornet
47
49
0
26 Feb 2021
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