Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals

22 March 2021

Papers citing "Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals"

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Title
Causal DAG Summarization (Full Version) Anna Zeng Michael Cafarella Batya Kenig Markos Markakis Brit Youngmann Babak Salimi CML 45 1 0 21 Apr 2025
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness Juliett Suárez Ferreira Marija Slavkovik Jorge Casillas FaML 64 0 0 03 Apr 2025
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach Ruichu Cai Yuxuan Zhu Xuexin Chen Yuan Fang Min-man Wu Jie Qiao Zhifeng Hao 54 7 0 31 Dec 2024
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse Seung Hyun Cheon Anneke Wernerfelt Sorelle A. Friedler Berk Ustun FaML FAtt 45 0 0 29 Oct 2024
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 60 0 0 21 Jul 2024
Are Objective Explanatory Evaluation metrics Trustworthy? An Adversarial Analysis Prithwijit Chowdhury Mohit Prabhushankar Ghassan AlRegib Mohamed Deriche 38 1 0 12 Jun 2024
Should XAI Nudge Human Decisions with Explanation Biasing? Yosuke Fukuchi Seiji Yamada 46 0 0 11 Jun 2024
Probabilities of Causation for Continuous and Vector Variables Yuta Kawakami Manabu Kuroki Jin Tian 43 4 0 30 May 2024
Intervention and Conditioning in Causal Bayesian Networks Sainyam Galhotra Joseph Y. Halpern CML 27 2 0 23 May 2024
Dynamic Explanation Emphasis in Human-XAI Interaction with Communication Robot Yosuke Fukuchi Seiji Yamada 30 0 0 21 Mar 2024
OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport Alireza Pirhadi Mohammad Hossein Moslemi Alexander Cloninger Mostafa Milani Babak Salimi 33 4 0 04 Mar 2024
On Explaining Unfairness: An Overview Christos Fragkathoulas Vasiliki Papanikou Danae Pla Karidi E. Pitoura XAI FaML 21 2 0 16 Feb 2024
Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 24 2 0 14 Feb 2024
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation Xuexin Chen Ruichu Cai Zhengting Huang Yuxuan Zhu Julien Horwood Zhifeng Hao Zijian Li Jose Miguel Hernandez-Lobato AAML 38 2 0 13 Feb 2024
The Duet of Representations and How Explanations Exacerbate It Charles Wan Rodrigo Belo Leid Zejnilovic Susana Lavado CML FAtt 31 1 0 13 Feb 2024
Example-based Explanations for Random Forests using Machine Unlearning Tanmay Surve Romila Pradhan FaML FAtt 25 3 0 07 Feb 2024
Counterfactual Explanations of Black-box Machine Learning Models using Causal Discovery with Applications to Credit Rating Daisuke Takahashi Shohei Shimizu Takuma Tanaka CML 53 1 0 05 Feb 2024
A Critical Survey on Fairness Benefits of Explainable AI Luca Deck Jakob Schoeffer Maria De-Arteaga Niklas Kühl 36 11 0 15 Oct 2023
Axiomatic Aggregations of Abductive Explanations Gagan Biradar Yacine Izza Elita Lobo Vignesh Viswanathan Yair Zick FAtt 19 4 0 29 Sep 2023
The role of causality in explainable artificial intelligence Gianluca Carloni Andrea Berti Sara Colantonio CML XAI 48 7 0 18 Sep 2023
Learning by Self-Explaining Wolfgang Stammer Felix Friedrich David Steinmann Manuel Brack Hikaru Shindo Kristian Kersting 34 7 0 15 Sep 2023
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution T. Idé Naoki Abe 43 4 0 09 Aug 2023
Efficient Computation of Counterfactual Bounds Marco Zaffalon Alessandro Antonucci Rafael Cabañas David Huber Dario Azzimonti 21 2 0 17 Jul 2023
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations Emanuele Albini Shubham Sharma Saumitra Mishra Danial Dervovic Daniele Magazzeni FAtt 46 2 0 13 Jul 2023
Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers I. Nejadgholi S. Kiritchenko Kathleen C. Fraser Esma Balkir 26 0 0 04 Jul 2023
Towards Trustworthy Explanation: On Causal Rationalization Wenbo Zhang Tong Wu Yunlong Wang Yong Cai Hengrui Cai CML 24 18 0 25 Jun 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 32 11 0 02 Jun 2023
A Vision for Semantically Enriched Data Science Udayan Khurana Kavitha Srinivas Sainyam Galhotra Horst Samulowitz 38 2 0 02 Mar 2023
Counterfactual (Non-)identifiability of Learned Structural Causal Models Arash Nasr-Esfahany Emre Kıcıman 35 12 0 22 Jan 2023
A General Search-based Framework for Generating Textual Counterfactual Explanations Daniel Gilo Shaul Markovitch LRM 41 0 0 01 Nov 2022
Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens Nitish Joshi X. Pan Hengxing He CML 64 30 0 25 Oct 2022
XInsight: eXplainable Data Analysis Through The Lens of Causality Pingchuan Ma Rui Ding Shuai Wang Shi Han Dongmei Zhang CML 21 20 0 26 Jul 2022
Explainability's Gain is Optimality's Loss? -- How Explanations Bias Decision-making Charley L. Wan Rodrigo Belo Leid Zejnilovic FAtt FaML 14 5 0 17 Jun 2022
Combining Counterfactuals With Shapley Values To Explain Image Models Aditya Lahiri Kamran Alipour Ehsan Adeli Babak Salimi FAtt 34 6 0 14 Jun 2022
Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces Kamran Alipour Aditya Lahiri Ehsan Adeli Babak Salimi M. Pazzani CML 33 7 0 10 Jun 2022
FIND:Explainable Framework for Meta-learning Xinyue Shao Hongzhi Wang Xiao-Wen Zhu Feng Xiong FedML 24 2 0 20 May 2022
Can counterfactual explanations of AI systems' predictions skew lay users' causal intuitions about the world? If so, can we correct for that? Marko Tešić U. Hahn CML 17 5 0 12 May 2022
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection Esma Balkir I. Nejadgholi Kathleen C. Fraser S. Kiritchenko FAtt 41 27 0 06 May 2022
Causal Explanations and XAI Sander Beckers CML XAI 28 35 0 31 Jan 2022
Interpretable Data-Based Explanations for Fairness Debugging Romila Pradhan Jiongli Zhu Boris Glavic Babak Salimi 16 53 0 17 Dec 2021
AI Explainability 360: Impact and Design Vijay Arya Rachel K. E. Bellamy Pin-Yu Chen Amit Dhurandhar Michael Hind ... Karthikeyan Shanmugam Moninder Singh Kush R. Varshney Dennis L. Wei Yunfeng Zhang 33 14 0 24 Sep 2021
Augmenting Decision Making via Interactive What-If Analysis Sneha Gathani Madelon Hulsebos James Gale P. Haas cCaugatay Demiralp 30 8 0 13 Sep 2021
Model Explanations via the Axiomatic Causal Lens Gagan Biradar Vignesh Viswanathan Yair Zick XAI CML 25 1 0 08 Sep 2021
Desiderata for Representation Learning: A Causal Perspective Yixin Wang Michael I. Jordan CML 32 82 0 08 Sep 2021
Estimating Categorical Counterfactuals via Deep Twin Networks Athanasios Vlontzos Bernhard Kainz Ciarán M. Gilligan-Lee OOD CML BDL 26 16 0 04 Sep 2021
$Convex optimization for actionable \& plausible counterfactual explanations$ Convex optimization for actionable \& plausible counterfactual explanations André Artelt Barbara Hammer CML OffRL 8 9 0 17 May 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
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End R. Mothilal Divyat Mahajan Chenhao Tan Amit Sharma FAtt CML 27 100 0 10 Nov 2020
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 26 164 0 20 Oct 2020
Causality-based Explanation of Classification Outcomes Leopoldo Bertossi Jordan Li Maximilian Schleich Dan Suciu Zografoula Vagena XAI CML FAtt 150 46 0 15 Mar 2020