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Variance reduction for estimation of Shapley effects and adaptation to
  unknown input distribution
v1v2 (latest)

Variance reduction for estimation of Shapley effects and adaptation to unknown input distribution

21 December 2018
Baptiste Broto
François Bachoc
M. Depecker
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Variance reduction for estimation of Shapley effects and adaptation to unknown input distribution"

20 / 20 papers shown
Title
Factor Importance Ranking and Selection using Total Indices
Factor Importance Ranking and Selection using Total Indices
Chaofan Huang
V. R. Joseph
121
2
0
01 Jan 2024
Efficiency of the averaged rank-based estimator for first order Sobol
  index inference
Efficiency of the averaged rank-based estimator for first order Sobol index inference
T. Klein
Paul Rochet
81
3
0
09 Jun 2023
New estimation of Sobol' indices using kernels
New estimation of Sobol' indices using kernels
Sébastien Da Veiga
Fabrice Gamboa
A. Lagnoux
T. Klein
Clémentine Prieur
70
2
0
31 Mar 2023
Efficient estimation of multiple expectations with the same sample by
  adaptive importance sampling and control variates
Efficient estimation of multiple expectations with the same sample by adaptive importance sampling and control variates
J. Demange-Chryst
François Bachoc
Jérome Morio
54
4
0
30 Nov 2022
Variance reduced Shapley value estimation for trustworthy data valuation
Variance reduced Shapley value estimation for trustworthy data valuation
Mengmeng Wu
R. Jia
Changle Lin
Wei Huang
Xiangyu Chang
TDI
104
15
0
30 Oct 2022
Proportional marginal effects for global sensitivity analysis
Proportional marginal effects for global sensitivity analysis
Margot Herin
Marouane Il Idrissi
V. Chabridon
Bertrand Iooss
87
9
0
24 Oct 2022
WeightedSHAP: analyzing and improving Shapley based feature attributions
WeightedSHAP: analyzing and improving Shapley based feature attributions
Yongchan Kwon
James Zou
TDIFAtt
90
37
0
27 Sep 2022
Quantile-constrained Wasserstein projections for robust interpretability
  of numerical and machine learning models
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models
Marouane Il Idrissi
Nicolas Bousquet
Fabrice Gamboa
Bertrand Iooss
Jean-Michel Loubes
106
3
0
23 Sep 2022
Shapley Computations Using Surrogate Model-Based Trees
Shapley Computations Using Surrogate Model-Based Trees
Zhipu Zhou
Jie Chen
Linwei Hu
44
0
0
11 Jul 2022
Variance-based global sensitivity analysis of numerical models using R
Variance-based global sensitivity analysis of numerical models using R
Hossein Mohammadi
P. Challenor
Clémentine Prieur
52
2
0
22 Jun 2022
Shapley effect estimation in reliability-oriented sensitivity analysis
  with correlated inputs by importance sampling
Shapley effect estimation in reliability-oriented sensitivity analysis with correlated inputs by importance sampling
J. Demange-Chryst
François Bachoc
Jérome Morio
56
3
0
25 Feb 2022
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests
Clément Bénard
Gérard Biau
Sébastien Da Veiga
Erwan Scornet
FAtt
89
32
0
25 May 2021
Developments and applications of Shapley effects to reliability-oriented
  sensitivity analysis with correlated inputs
Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs
Marouane Il Idrissi
V. Chabridon
Bertrand Iooss
54
35
0
20 Jan 2021
Kernel-based ANOVA decomposition and Shapley effects -- Application to
  global sensitivity analysis
Kernel-based ANOVA decomposition and Shapley effects -- Application to global sensitivity analysis
Sébastien Da Veiga
FAtt
82
26
0
14 Jan 2021
A simple algorithm for global sensitivity analysis with Shapley effects
A simple algorithm for global sensitivity analysis with Shapley effects
T. Goda
FAtt
57
18
0
02 Sep 2020
Gaussian linear approximation for the estimation of the Shapley effects
Gaussian linear approximation for the estimation of the Shapley effects
Baptiste Broto
François Bachoc
M. Depecker
Jean-Marc Martinez
36
0
0
03 Jun 2020
Global Sensitivity Analysis: a new generation of mighty estimators based on rank statistics
Fabrice Gamboa
P. Gremaud
T. Klein
A. Lagnoux
101
46
0
03 Mar 2020
Computing Shapley Effects for Sensitivity Analysis
Computing Shapley Effects for Sensitivity Analysis
E. Plischke
Giovanni Rabitti
E. Borgonovo
FAtt
44
26
0
27 Feb 2020
Block-diagonal covariance estimation and application to the Shapley
  effects in sensitivity analysis
Block-diagonal covariance estimation and application to the Shapley effects in sensitivity analysis
Baptiste Broto
François Bachoc
Laura Clouvel
Jean-Marc Martinez
43
7
0
30 Jul 2019
Explaining Machine Learning Models using Entropic Variable Projection
Explaining Machine Learning Models using Entropic Variable Projection
François Bachoc
Fabrice Gamboa
Max Halford
Jean-Michel Loubes
Laurent Risser
FAtt
87
5
0
18 Oct 2018
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