Computing Exact Shapley Values in Polynomial Time for Product-Kernel Methods

22 May 2025

Papers citing "Computing Exact Shapley Values in Polynomial Time for Product-Kernel Methods"

26 / 26 papers shown

Title
A Unified View of Optimal Kernel Hypothesis Testing Antonin Schrab 62 3 0 10 Mar 2025
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory Fabian Fumagalli Maximilian Muschalik Eyke Hüllermeier Barbara Hammer J. Herbinger FAtt 111 2 0 22 Dec 2024
An Overview of Causal Inference using Kernel Embeddings Dino Sejdinovic CML BDL 84 4 0 30 Oct 2024
shapiq: Shapley Interactions for Machine Learning Maximilian Muschalik Hubert Baniecki Fabian Fumagalli Patrick Kolpaczki Barbara Hammer Eyke Hüllermeier TDI 46 13 0 02 Oct 2024
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models Siu Lun Chau Krikamol Muandet Dino Sejdinovic FAtt 75 14 0 24 May 2023
Explanations of Black-Box Models based on Directional Feature Interactions A. Masoomi Davin Hill Zhonghui Xu C. Hersh E. Silverman P. Castaldi Stratis Ioannidis Jennifer Dy FAtt 64 19 0 16 Apr 2023
From Shapley Values to Generalized Additive Models and back Sebastian Bordt U. V. Luxburg FAtt TDI 108 40 0 08 Sep 2022
Unifying local and global model explanations by functional decomposition of low dimensional structures M. Hiabu Josephine T. Meyer Marvin N. Wright FAtt 48 20 0 12 Aug 2022
RKHS-SHAP: Shapley Values for Kernel Methods Siu Lun Chau Robert Hu Javier I. González Dino Sejdinovic FAtt 38 20 0 18 Oct 2021
BayesIMP: Uncertainty Quantification for Causal Data Fusion Siu Lun Chau Jean-François Ton Javier I. González Yee Whye Teh Dino Sejdinovic CML 35 20 0 07 Jun 2021
Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression Ian Covert Su-In Lee FAtt 39 166 0 02 Dec 2020
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models Tom Heskes E. Sijben I. G. Bucur Tom Claassen FAtt TDI 97 151 0 03 Nov 2020
Problems with Shapley-value-based explanations as feature importance measures Indra Elizabeth Kumar Suresh Venkatasubramanian C. Scheidegger Sorelle A. Friedler TDI FAtt 64 362 0 25 Feb 2020
Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models Benjamin J. Lengerich S. Tan C. Chang Giles Hooker R. Caruana 39 40 0 12 Nov 2019
Feature relevance quantification in explainable AI: A causal problem Dominik Janzing Lenon Minorics Patrick Blobaum FAtt CML 35 279 0 29 Oct 2019
The many Shapley values for model explanation Mukund Sundararajan A. Najmi TDI FAtt 40 628 0 22 Aug 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 300 5,664 0 25 Jul 2019
Causal Inference via Kernel Deviance Measures Jovana Mitrović Dino Sejdinovic Yee Whye Teh CML 15 62 0 12 Apr 2018
Product Kernel Interpolation for Scalable Gaussian Processes Jacob R. Gardner Geoff Pleiss Ruihan Wu Kilian Q. Weinberger A. Wilson 42 72 0 24 Feb 2018
Characteristic and Universal Tensor Product Kernels Z. Szabó Bharath K. Sriperumbudur 103 72 0 28 Aug 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 446 21,459 0 22 May 2017
Uncertain programming model for multi-item solid transportation problem Hasan Dalman 66 730 0 31 May 2016
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation Qiang Liu Jason D. Lee Michael I. Jordan 94 478 0 10 Feb 2016
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann Arthur Gretton BDL 159 327 0 09 Feb 2016
Variance components and generalized Sobol' indices Art B. Owen 71 111 0 08 May 2012
Additive Gaussian Processes David Duvenaud H. Nickisch C. Rasmussen GP 83 329 0 19 Dec 2011