Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression

2 December 2020

Papers citing "Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression"

20 / 20 papers shown

Title
Computing Exact Shapley Values in Polynomial Time for Product-Kernel Methods Majid Mohammadi Siu Lun Chau Krikamol Muandet FAtt 143 0 0 22 May 2025
shapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python Martin Jullum Lars Henry Berge Olsen Jon Lachmann Annabelle Redelmeier TDI FAtt 115 3 0 02 Apr 2025
FW-Shapley: Real-time Estimation of Weighted Shapley Values Pranoy Panda Siddharth Tandon V. Balasubramanian TDI 121 0 0 09 Mar 2025
Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining Qisen Cheng Jinming Xing Chang Xue Xiaoran Yang AI4TS 66 5 0 28 Jan 2025
A Comprehensive Study of Shapley Value in Data Analytics Hong Lin Shixin Wan Zhongle Xie Ke Chen Meihui Zhang Lidan Shou Gang Chen 126 0 0 02 Dec 2024
Kernel Banzhaf: A Fast and Robust Estimator for Banzhaf Values Yurong Liu R. Teal Witter Flip Korn Tarfah Alrashed Dimitris Paparas Christopher Musco Juliana Freire FAtt 107 0 0 10 Oct 2024
Provably Accurate Shapley Value Estimation via Leverage Score Sampling Christopher Musco R. Teal Witter FAtt FedML TDI 81 4 0 02 Oct 2024
Many Perception Tasks are Highly Redundant Functions of their Input Data Rahul Ramesh Anthony Bisulco Ronald W. DiTullio Linran Wei Vijay Balasubramanian Kostas Daniilidis Pratik Chaudhari 82 2 0 18 Jul 2024
Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek FAtt 91 4 0 26 Jun 2024
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients Evandro S. Ortigossa Fábio F. Dias Brian Barr Claudio T. Silva L. G. Nonato FAtt 98 3 0 25 Apr 2024
Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes Lucio Dery Steven Kolawole Jean-Francois Kagey Virginia Smith Graham Neubig Ameet Talwalkar 64 30 0 08 Feb 2024
Explaining by Removing: A Unified Framework for Model Explanation Ian Covert Scott M. Lundberg Su-In Lee FAtt 78 248 0 21 Nov 2020
An Analysis of LIME for Text Data Dina Mardaoui Damien Garreau FAtt 162 45 0 23 Oct 2020
Looking Deeper into Tabular LIME Damien Garreau U. V. Luxburg FAtt LMTD 146 30 0 25 Aug 2020
Neuron Shapley: Discovering the Responsible Neurons Amirata Ghorbani James Zou FAtt TDI 52 111 0 23 Feb 2020
Data Shapley: Equitable Valuation of Data for Machine Learning Amirata Ghorbani James Zou TDI FedML 72 778 0 05 Apr 2019
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation Marco Ancona Cengiz Öztireli Markus Gross FAtt TDI 67 225 0 26 Mar 2019
L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data Jianbo Chen Le Song Martin J. Wainwright Michael I. Jordan FAtt TDI 107 214 0 08 Aug 2018
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 837 21,760 0 22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 891 16,891 0 16 Feb 2016