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FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles

27 November 2019

Maarten de Rijke

Papers citing "FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles"

28 / 28 papers shown

Title
Generalizability vs. Counterfactual Explainability Trade-Off Fabiano Veglianti Flavio Giorgi Fabrizio Silvestri Gabriele Tolomei 40 0 0 29 May 2025
Learning Decision Trees and Forests with Algorithmic Recourse Kentaro Kanamori Takuya Takagi Ken Kobayashi Yuichi Ike 82 3 0 03 Jun 2024
Debiasing Machine Unlearning with Counterfactual Examples Ziheng Chen Jia Wang Jun Zhuang Abbavaram Gowtham Reddy Fabrizio Silvestri Jin Huang Kaushiki Nag Kun Kuang Xin Ning Gabriele Tolomei MU CML 117 4 0 24 Apr 2024
Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes Alexander Stevens Chun Ouyang Johannes De Smedt Catarina Moreira CML 63 1 0 14 Mar 2024
Sparse and Faithful Explanations Without Sparse Models Yiyang Sun Zhi Chen Vittorio Orlandi Tong Wang Cynthia Rudin 76 3 0 15 Feb 2024
GLOBE-CE: A Translation-Based Approach for Global Counterfactual Explanations Dan Ley Saumitra Mishra Daniele Magazzeni LRM 92 19 0 26 May 2023
Data-centric Artificial Intelligence: A Survey Daochen Zha Zaid Pervaiz Bhat Kwei-Herng Lai Fan Yang Zhimeng Jiang Shaochen Zhong Helen Zhou 119 214 0 17 Mar 2023
Very fast, approximate counterfactual explanations for decision forests Miguel Á. Carreira-Perpiñán Suryabhan Singh Hada 46 4 0 06 Mar 2023
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal M. Hashemi Ali Darejeh Francisco Cruz 77 3 0 07 Feb 2023
Explainable Data-Driven Optimization: From Context to Decision and Back Again Alexandre Forel Axel Parmentier Thibaut Vidal 80 9 0 24 Jan 2023
CEnt: An Entropy-based Model-agnostic Explainability Framework to Contrast Classifiers' Decisions Julia El Zini Mohamad Mansour M. Awad 56 1 0 19 Jan 2023
Decomposing Counterfactual Explanations for Consequential Decision Making Martin Pawelczyk Lea Tiyavorabun Gjergji Kasneci CML 44 1 0 03 Nov 2022
Local and Regional Counterfactual Rules: Summarized and Robust Recourses Salim I. Amoukou Nicolas Brunel 47 0 0 29 Sep 2022
Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations Vy Vo Trung Le Van Nguyen He Zhao Edwin V. Bonilla Gholamreza Haffari Dinh Q. Phung CML 91 13 0 27 Sep 2022
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations Ziheng Chen Fabrizio Silvestri Jia Wang Yongfeng Zhang Zhenhua Huang H. Ahn Gabriele Tolomei CML 83 30 0 04 Aug 2022
Robust Counterfactual Explanations for Tree-Based Ensembles Sanghamitra Dutta Jason Long Saumitra Mishra Cecilia Tilli Daniele Magazzeni 85 55 0 06 Jul 2022
Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users Ana Lucic Sheeraz Ahmad Amanda Furtado Brinhosa Q. V. Liao Himani Agrawal Umang Bhatt K. Kenthapadi Alice Xiang Maarten de Rijke N. Drabowski 102 2 0 06 Jul 2022
Don't Explain Noise: Robust Counterfactuals for Randomized Ensembles Alexandre Forel Axel Parmentier Thibaut Vidal 66 2 0 27 May 2022
Global Counterfactual Explanations: Investigations, Implementations and Improvements Dan Ley Saumitra Mishra Daniele Magazzeni LRM 78 12 0 14 Apr 2022
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse Martin Pawelczyk Teresa Datta Johannes van-den-Heuvel Gjergji Kasneci Himabindu Lakkaraju 89 38 0 13 Mar 2022
ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive Models Kiran Purohit Soumili Das Jia Wang He Zhu Santu Rana Gabriele Tolomei CML OffRL 93 38 0 22 Oct 2021
A Framework and Benchmarking Study for Counterfactual Generating Methods on Tabular Data Raphael Mazzine David Martens 100 33 0 09 Jul 2021
Counterfactual Explanations for Arbitrary Regression Models Thomas Spooner Danial Dervovic Jason Long Jon Shepard Jiahao Chen Daniele Magazzeni 68 26 0 29 Jun 2021
Optimal Counterfactual Explanations in Tree Ensembles Axel Parmentier Thibaut Vidal 59 55 0 11 Jun 2021
An exact counterfactual-example-based approach to tree-ensemble models interpretability P. Blanchart 47 4 0 31 May 2021
A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms Ana Lucic Madhulika Srikumar Umang Bhatt Alice Xiang Ankur Taly Q. V. Liao Maarten de Rijke 45 5 0 27 Mar 2021
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks Ana Lucic Maartje ter Hoeve Gabriele Tolomei Maarten de Rijke Fabrizio Silvestri 211 146 0 05 Feb 2021
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 178 176 0 20 Oct 2020