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Ultra-marginal Feature Importance: Learning from Data with Causal
  Guarantees

Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees

21 April 2022
Joseph Janssen
Vincent Guan
Elina Robeva
ArXivPDFHTML

Papers citing "Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees"

4 / 4 papers shown
Title
Partial Information Decomposition for Data Interpretability and Feature
  Selection
Partial Information Decomposition for Data Interpretability and Feature Selection
Charles Westphal
Stephen Hailes
Mirco Musolesi
37
0
0
29 May 2024
From Shapley Values to Generalized Additive Models and back
From Shapley Values to Generalized Additive Models and back
Sebastian Bordt
U. V. Luxburg
FAtt
TDI
69
34
0
08 Sep 2022
On a multivariate copula-based dependence measure and its estimation
On a multivariate copula-based dependence measure and its estimation
Florian Griessenberger
R. Junker
W. Trutschnig
71
25
0
27 Sep 2021
ranger: A Fast Implementation of Random Forests for High Dimensional
  Data in C++ and R
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
Marvin N. Wright
A. Ziegler
93
2,731
0
18 Aug 2015
1