True to the Model or True to the Data?

29 June 2020

Papers citing "True to the Model or True to the Data?"

50 / 98 papers shown

Title
Prediction via Shapley Value Regression Amr Alkhatib Roman Bresson Henrik Bostrom Michalis Vazirgiannis TDI FAtt 122 0 0 07 May 2025
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models Jan Kapar Niklas Koenen Martin Jullum 116 0 0 29 Apr 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 182 3 0 02 Apr 2025
From Abstract to Actionable: Pairwise Shapley Values for Explainable AI Jiaxin Xu Hung Chau Angela Burden TDI 119 0 0 18 Feb 2025
A Comprehensive Study of Shapley Value in Data Analytics Hong Lin Shixin Wan Zhongle Xie Ke Chen Meihui Zhang Lidan Shou Gang Chen 180 0 0 02 Dec 2024
Transparent Neighborhood Approximation for Text Classifier Explanation Yi Cai Arthur Zimek Eirini Ntoutsi Gerhard Wunder AAML 116 0 0 25 Nov 2024
Disentangling Interactions and Dependencies in Feature Attribution Gunnar König Eric Günther Ulrike von Luxburg FAtt 72 2 0 31 Oct 2024
Fast Estimation of Partial Dependence Functions using Trees Jinyang Liu Tessa Steensgaard Marvin N. Wright Niklas Pfister M. Hiabu FAtt 112 0 0 17 Oct 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 130 0 0 10 Oct 2024
shapiq: Shapley Interactions for Machine Learning Maximilian Muschalik Hubert Baniecki Fabian Fumagalli Patrick Kolpaczki Barbara Hammer Eyke Hüllermeier TDI 68 13 0 02 Oct 2024
Shapley Marginal Surplus for Strong Models Daniel de Marchi Michael Kosorok Scott de Marchi TDI FAtt 26 0 0 16 Aug 2024
Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses Tianshu Feng Rohan D Gnanaolivu Abolfazl Safikhani Yuanhang Liu Jun Jiang Nicholas Chia A. Partin Priyanka Vasanthakumari Yitan Zhu Chen Wang 70 1 0 05 Jul 2024
GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanations Rick Wilming Artur Dox Hjalmar Schulz Marta Oliveira Benedict Clark Stefan Haufe 102 2 0 17 Jun 2024
Partial Information Decomposition for Data Interpretability and Feature Selection Charles Westphal Stephen Hailes Mirco Musolesi 75 0 0 29 May 2024
Regression Trees Know Calculus Nathan Wycoff 85 0 0 22 May 2024
Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective Ningsheng Zhao Jia Yuan Yu Krzysztof Dzieciolowski Trang Bui TDI FAtt 101 2 0 21 Apr 2024
REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values Shubham Sharma Sanghamitra Dutta Emanuele Albini Freddy Lecue Daniele Magazzeni Manuela Veloso 399 2 0 13 Mar 2024
Learning to Understand: Identifying Interactions via the Möbius Transform Justin Singh Kang Yigit Efe Erginbas Landon Butler Ramtin Pedarsani Kannan Ramchandran 96 4 0 04 Feb 2024
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles Maximilian Muschalik Fabian Fumagalli Barbara Hammer Eyke Hüllermeier TDI 109 18 0 22 Jan 2024
Information-Theoretic State Variable Selection for Reinforcement Learning Charles Westphal Stephen Hailes Mirco Musolesi 78 3 0 21 Jan 2024
Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis Domokos M. Kelen Mihaly Petreczky Péter Kersch András A. Benczúr FAtt 66 3 0 15 Oct 2023
Notes on Applicability of Explainable AI Methods to Machine Learning Models Using Features Extracted by Persistent Homology Naofumi Hama 89 0 0 15 Oct 2023
Stabilizing Estimates of Shapley Values with Control Variates Jeremy Goldwasser Giles Hooker FAtt 76 5 0 11 Oct 2023
The Blame Problem in Evaluating Local Explanations, and How to Tackle it Amir Hossein Akhavan Rahnama ELM FAtt 83 5 0 05 Oct 2023
Computing SHAP Efficiently Using Model Structure Information Linwei Hu Ke Wang FAtt 57 2 0 05 Sep 2023
Using machine learning to understand causal relationships between urban form and travel CO2 emissions across continents Felix Wagner Florian Nachtigall Lukas Franken Nikola Milojevic-Dupont R. Pereira Nicolas Koch J. Runge Marta C. González F. Creutzig AI4CE 43 1 0 31 Aug 2023
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations Emanuele Albini Shubham Sharma Saumitra Mishra Danial Dervovic Daniele Magazzeni FAtt 79 2 0 13 Jul 2023
SHAP@k:Efficient and Probably Approximately Correct (PAC) Identification of Top-k Features Sanjay Kariyappa Leonidas Tsepenekas Freddy Lecue Daniele Magazzeni FAtt 60 6 0 10 Jul 2023
Simple Steps to Success: Axiomatics of Distance-Based Algorithmic Recourse Jenny Hamer Jake Valladares Vignesh Viswanathan Yair Zick 56 0 0 27 Jun 2023
PWSHAP: A Path-Wise Explanation Model for Targeted Variables Lucile Ter-Minassian Oscar Clivio Karla Diaz-Ordaz R. Evans Chris Holmes 87 1 0 26 Jun 2023
Feature Interactions Reveal Linguistic Structure in Language Models Jaap Jumelet Willem H. Zuidema FAtt 53 7 0 21 Jun 2023
Explaining Predictive Uncertainty with Information Theoretic Shapley Values David S. Watson Joshua O'Hara Niek Tax Richard Mudd Ido Guy TDI FAtt 70 24 0 09 Jun 2023
Dear XAI Community, We Need to Talk! Fundamental Misconceptions in Current XAI Research Timo Freiesleben Gunnar Konig 61 20 0 07 Jun 2023
Evaluating geospatial context information for travel mode detection Ye Hong Emanuel Stüdeli Martin Raubal 62 4 0 30 May 2023
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models Siu Lun Chau Krikamol Muandet Dino Sejdinovic FAtt 100 16 0 24 May 2023
A Comparative Study of Methods for Estimating Conditional Shapley Values and When to Use Them Lars Henry Berge Olsen I. Glad Martin Jullum K. Aas FAtt 90 12 0 16 May 2023
Efficient SAGE Estimation via Causal Structure Learning C. Luther Gunnar Konig Moritz Grosse-Wentrup 124 3 0 06 Apr 2023
Approximation of group explainers with coalition structure using Monte Carlo sampling on the product space of coalitions and features Konstandinos Kotsiopoulos A. Miroshnikov Khashayar Filom Arjun Ravi Kannan FAtt 99 3 0 17 Mar 2023
Explanation Shift: How Did the Distribution Shift Impact the Model? Carlos Mougan Klaus Broelemann David Masip Gjergji Kasneci Thanassis Thiropanis Steffen Staab FAtt 88 2 0 14 Mar 2023
Beyond Demographic Parity: Redefining Equal Treatment Carlos Mougan Laura State Antonio Ferrara Salvatore Ruggieri Steffen Staab FaML 95 1 0 14 Mar 2023
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams Maximilian Muschalik Fabian Fumagalli Barbara Hammer Eyke Hüllermeier 55 3 0 02 Mar 2023
On marginal feature attributions of tree-based models Khashayar Filom A. Miroshnikov Konstandinos Kotsiopoulos Arjun Ravi Kannan FAtt 76 3 0 16 Feb 2023
Explaining text classifiers through progressive neighborhood approximation with realistic samples Yi Cai Arthur Zimek Eirini Ntoutsi Gerhard Wunder AI4TS 74 0 0 11 Feb 2023
Mapping Knowledge Representations to Concepts: A Review and New Perspectives Lars Holmberg P. Davidsson Per Linde 88 2 0 31 Dec 2022
A Time Series Approach to Explainability for Neural Nets with Applications to Risk-Management and Fraud Detection M. Wildi Branka Hadji Misheva AI4TS 63 1 0 06 Dec 2022
Rethinking Log Odds: Linear Probability Modelling and Expert Advice in Interpretable Machine Learning Danial Dervovic Nicolas Marchesotti Freddy Lecue Daniele Magazzeni 69 0 0 11 Nov 2022
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space Carlos Mougan Klaus Broelemann Gjergji Kasneci T. Tiropanis Steffen Staab FAtt 66 7 0 22 Oct 2022
Conditional Feature Importance for Mixed Data Kristin Blesch David S. Watson Marvin N. Wright 95 7 0 06 Oct 2022
From Shapley Values to Generalized Additive Models and back Sebastian Bordt U. V. Luxburg FAtt TDI 171 43 0 08 Sep 2022
Change Detection for Local Explainability in Evolving Data Streams Johannes Haug Alexander Braun Stefan Zurn Gjergji Kasneci FAtt 48 10 0 06 Sep 2022