Shapley Computations Using Surrogate Model-Based Trees

Shapley Computations Using Surrogate Model-Based Trees

11 July 2022

Jie Chen

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Papers citing "Shapley Computations Using Surrogate Model-Based Trees"

9 / 9 papers shown

Title
Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms Linwei Hu Jie Chen V. Nair Agus Sudjianto 32 15 0 28 Jul 2020
True to the Model or True to the Data? Hugh Chen Joseph D. Janizek Scott M. Lundberg Su-In Lee TDI FAtt 153 166 0 29 Jun 2020
Shapley explainability on the data manifold Christopher Frye Damien de Mijolla T. Begley Laurence Cowton Megan Stanley Ilya Feige FAtt TDI 47 99 0 01 Jun 2020
Explaining black box decisions by Shapley cohort refinement Masayoshi Mase Art B. Owen Benjamin B. Seiler 38 51 0 01 Nov 2019
Feature relevance quantification in explainable AI: A causal problem Dominik Janzing Lenon Minorics Patrick Blobaum FAtt CML 84 284 0 29 Oct 2019
The many Shapley values for model explanation Mukund Sundararajan A. Najmi TDI FAtt 62 635 0 22 Aug 2019
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values K. Aas Martin Jullum Anders Løland FAtt TDI 67 624 0 25 Mar 2019
Variance reduction for estimation of Shapley effects and adaptation to unknown input distribution Baptiste Broto François Bachoc M. Depecker FAtt 47 52 0 21 Dec 2018
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,018 0 22 May 2017