Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models

3 November 2020

Papers citing "Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models"

27 / 77 papers shown

Title
Explaining the root causes of unit-level changes Kailash Budhathoki George Michailidis Dominik Janzing FAtt 33 4 0 26 Jun 2022
Explaining Preferences with Shapley Values Robert Hu Siu Lun Chau Jaime Ferrando Huertas Dino Sejdinovic TDI FAtt 18 6 0 26 May 2022
The Shapley Value in Machine Learning Benedek Rozemberczki Lauren Watson Péter Bayer Hao-Tsung Yang Oliver Kiss Sebastian Nilsson Rik Sarkar TDI FAtt 32 205 0 11 Feb 2022
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning Amit Dhurandhar Karthikeyan N. Ramamurthy Kartik Ahuja Vijay Arya FAtt 30 4 0 28 Jan 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 33 399 0 20 Jan 2022
Socioeconomic disparities and COVID-19: the causal connections Tannista Banerjee Ayan Paul Vishak Srikanth Inga Strümke 24 2 0 18 Jan 2022
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features Lars Henry Berge Olsen I. Glad Martin Jullum K. Aas TDI FAtt 32 17 0 26 Nov 2021
Defining and Quantifying the Emergence of Sparse Concepts in DNNs Jie Ren Mingjie Li Qirui Chen Huiqi Deng Quanshi Zhang 23 31 0 11 Nov 2021
Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning Sindre Benjamin Remman Inga Strümke A. Lekkas CML 19 7 0 04 Nov 2021
RKHS-SHAP: Shapley Values for Kernel Methods Siu Lun Chau Robert Hu Javier I. González Dino Sejdinovic FAtt 26 16 0 18 Oct 2021
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition Weishen Pan Sen Cui Jiang Bian Changshui Zhang Fei Wang CML FaML 27 33 0 11 Aug 2021
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning Yang Liu Sujay Khandagale Colin White Willie Neiswanger 39 65 0 23 Jun 2021
Rational Shapley Values David S. Watson 23 20 0 18 Jun 2021
Decomposition of Global Feature Importance into Direct and Associative Components (DEDACT) Gunnar Konig Timo Freiesleben B. Bischl Giuseppe Casalicchio Moritz Grosse-Wentrup FAtt 18 4 0 15 Jun 2021
Local Explanation of Dialogue Response Generation Yi-Lin Tuan Connor Pryor Wenhu Chen Lise Getoor Wenjie Wang 27 11 0 11 Jun 2021
Accurate Shapley Values for explaining tree-based models Salim I. Amoukou Nicolas Brunel Tangi Salaun TDI FAtt 16 13 0 07 Jun 2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning Jiahui Li Kun Kuang Baoxiang Wang Furui Liu Long Chen Fei Wu Jun Xiao OffRL 27 60 0 01 Jun 2021
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests Clément Bénard Gérard Biau Sébastien Da Veiga Erwan Scornet FAtt 40 32 0 25 May 2021
Explaining a Series of Models by Propagating Shapley Values Hugh Chen Scott M. Lundberg Su-In Lee TDI FAtt 29 123 0 30 Apr 2021
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice David S. Watson Limor Gultchin Ankur Taly Luciano Floridi 22 63 0 27 Mar 2021
The Shapley Value of coalition of variables provides better explanations Salim I. Amoukou Nicolas Brunel Tangi Salaun FAtt TDI 27 5 0 24 Mar 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 48 48 0 20 Mar 2021
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 148 665 0 28 Dec 2020
Explaining by Removing: A Unified Framework for Model Explanation Ian Covert Scott M. Lundberg Su-In Lee FAtt 53 243 0 21 Nov 2020
Shapley Flow: A Graph-based Approach to Interpreting Model Predictions Jiaxuan Wang Jenna Wiens Scott M. Lundberg FAtt 28 88 0 27 Oct 2020
Quantifying intrinsic causal contributions via structure preserving interventions Dominik Janzing Patrick Blobaum Atalanti A. Mastakouri P. M. Faller Lenon Minorics Kailash Budhathoki CML 15 9 0 01 Jul 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 52 371 0 30 Apr 2020