Fetching the paper…
Reading the bibliography…
We introduce a variable importance measure to quantify the impact of individual input variables to a black box function.
Aas, K., Jullum, M., and Løland, A. (2019) · 1903
Earlier work this paper cites.
A class of statistics with asymptotically normal distribution
Hoeffding, W. (1948) · 1948
Earlier work this paper cites.
A value for n-person games
Shapley, L. S. (1952) · 1952
Earlier work this paper cites.
Multidimensional Quadrature Formulas and Haar Functions
Sobol’, I. M. (1969) · 1969
Earlier work this paper cites.
Hedonic prices and the demand for clean air
Harrison, D. and Rubinfeld, D. L. (1978) · 1978
Earlier work this paper cites.
Sensitivity estimates for nonlinear mathematical models
Sobol’, I. M. (1993) · 1993
Earlier work this paper cites.
Efficient implementation of high dimensional model representations
Aliş, Ö. F. and Rabitz, H. (2001) · 2001
Earlier work this paper cites.
Quasi-regression with shrinkage
Jiang, T. and Owen, A. B. (2003) · 2003
Earlier work this paper cites.
Theorems and examples on high dimensional model representation
Sobol’, I. M. (2003) · 2003
Earlier work this paper cites.
Global Sensitivity Analysis. The Primer
Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., and Tarantola, S. (2008) · 2008
Cited alongside, same era.
Splitting a predictor at the upper quarter or third and the lower quarter or third
Gelman, A. and Park, D. K. (2009) · 2009
Cited alongside, same era.
On decompositions of multivariate functions
Kuo, F., Sloan, I., Wasilkowski, G., and Woźniakowski, H. (2010) · 2010
Cited alongside, same era.
An efficient explanation of individual classifications using game theory
Štrumbelj, E. and Kononenko, I. (2010) · 2010
Cited alongside, same era.
The many Shapley values for model explanation
Sundararajan, M. and Najmi, A. (2020) · 2010
Cited alongside, same era.
Variance components and generalized Sobol’ indices
Owen, A. B. (2013) · 2013
Cited alongside, same era.
Algorithmic transparency via quantitative input influence: Theory and experiments with learning systems
Datta, A., Sen, S., and Zick, Y. (2016) · 2016
Later among the works it cites.
Statistical inference for Sobol’ pick-freeze Monte Carlo method
Gamboa, F., Janon, A., Klein, T., Lagnoux, A., and Prieur, C. (2016) · 2016
Later among the works it cites.
Why should I trust you?: Explaining the predictions of any classifier
Ribeiro, M. T., Singh, S., and Guestrin, C. (2016) · 2016
Later among the works it cites.
Shapley effects for global sensitivity analysis: Theory and computation
Song, E., Nelson, B. L., and Staum, J. (2016) · 2016
Later among the works it cites.
A unified approach to interpreting model predictions
Lundberg, S. M. and Lee, S.-I. (2017) · 2017
Later among the works it cites.
On Shapley value for measuring importance of dependent inputs
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Sobol’ indices and Shapley value
Owen, A. B. (2014) · 2014
Cited alongside, same era.
Explaining prediction models and individual predictions with feature contributions
Štrumbelj, E. and Kononenko, I. (2014) · 2014
Cited alongside, same era.
Xgboost: A scalable tree boosting system
Chen, T. and Guestrin, C. (2016) · 2016
Cited alongside, same era.
Owen, A. B. and Prieur, C. (2017) · 2017
Later among the works it cites.
Auditing black-box models for indirect influence
Adler, P., Falk, C., Friedler, S. A., Nix, T., Rybeck, G., Scheidegger, C., Smith, B., and Venkatasubramanian, S. (2018) · 2018
Later among the works it cites.
Interpretable machine learning: A Guide for Making Black Box Models Explainable
Molnar, C. (2018) · 2018
Later among the works it cites.
Problems with Shapley-value-based explanations as feature importance measures
Kumar, I. E., Venkatasubramanian, S., Scheidegger, C., and Friedler, S. (2020) · 2020
Closest in time.