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Variance reduction for estimation of Shapley effects and adaptation to unknown input distribution
21 December 2018
Baptiste Broto
François Bachoc
M. Depecker
FAtt
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Papers citing
"Variance reduction for estimation of Shapley effects and adaptation to unknown input distribution"
20 / 20 papers shown
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Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models
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Shapley Computations Using Surrogate Model-Based Trees
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Variance-based global sensitivity analysis of numerical models using R
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Shapley effect estimation in reliability-oriented sensitivity analysis with correlated inputs by importance sampling
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Jérome Morio
56
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SHAFF: Fast and consistent SHApley eFfect estimates via random Forests
Clément Bénard
Gérard Biau
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Erwan Scornet
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Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs
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Bertrand Iooss
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Kernel-based ANOVA decomposition and Shapley effects -- Application to global sensitivity analysis
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A simple algorithm for global sensitivity analysis with Shapley effects
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57
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Gaussian linear approximation for the estimation of the Shapley effects
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Jean-Marc Martinez
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Global Sensitivity Analysis: a new generation of mighty estimators based on rank statistics
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P. Gremaud
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A. Lagnoux
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Computing Shapley Effects for Sensitivity Analysis
E. Plischke
Giovanni Rabitti
E. Borgonovo
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46
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Block-diagonal covariance estimation and application to the Shapley effects in sensitivity analysis
Baptiste Broto
François Bachoc
Laura Clouvel
Jean-Marc Martinez
45
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Explaining Machine Learning Models using Entropic Variable Projection
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Fabrice Gamboa
Max Halford
Jean-Michel Loubes
Laurent Risser
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18 Oct 2018
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