Efficient Search for Diverse Coherent Explanations

2 January 2019

Papers citing "Efficient Search for Diverse Coherent Explanations"

50 / 129 papers shown

Title
VCNet: A self-explaining model for realistic counterfactual generation Victor Guyomard Franccoise Fessant Thomas Guyet Tassadit Bouadi Alexandre Termier BDL OOD CML 20 24 0 21 Dec 2022
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ Eoin Delaney A. Pakrashi Derek Greene Markt. Keane 40 16 0 16 Dec 2022
Decomposing Counterfactual Explanations for Consequential Decision Making Martin Pawelczyk Lea Tiyavorabun Gjergji Kasneci CML 26 1 0 03 Nov 2022
CLEAR: Generative Counterfactual Explanations on Graphs Jing Ma Ruocheng Guo Saumitra Mishra Aidong Zhang Jundong Li CML OOD 40 54 0 16 Oct 2022
Local and Regional Counterfactual Rules: Summarized and Robust Recourses Salim I. Amoukou Nicolas Brunel 28 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 58 13 0 27 Sep 2022
Counterfactual Explanations Using Optimization With Constraint Learning Donato Maragno Tabea E. Rober Ilker Birbil CML 63 10 0 22 Sep 2022
A Query-Optimal Algorithm for Finding Counterfactuals Guy Blanc Caleb M. Koch Jane Lange Li-Yang Tan 27 4 0 14 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
Improving Model Understanding and Trust with Counterfactual Explanations of Model Confidence Thao Le Tim Miller Ronal Singh L. Sonenberg 14 9 0 06 Jun 2022
MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation Wenzhuo Yang Jia Li Caiming Xiong Guosheng Lin CML 35 13 0 31 May 2022
Personalized Algorithmic Recourse with Preference Elicitation Giovanni De Toni P. Viappiani Stefano Teso Bruno Lepri Andrea Passerini 19 8 0 27 May 2022
DualCF: Efficient Model Extraction Attack from Counterfactual Explanations Yongjie Wang Hangwei Qian Chunyan Miao AAML 16 31 0 13 May 2022
Cycle-Consistent Counterfactuals by Latent Transformations Saeed Khorram Li Fuxin BDL 24 32 0 28 Mar 2022
Diverse Counterfactual Explanations for Anomaly Detection in Time Series Deborah Sulem Michele Donini Muhammad Bilal Zafar François-Xavier Aubet Jan Gasthaus Tim Januschowski Sanjiv Ranjan Das K. Kenthapadi Cédric Archambeau AAML 35 10 0 21 Mar 2022
Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box Catarina Moreira Yu-Liang Chou Chih-Jou Hsieh Chun Ouyang Joaquim A. Jorge João Pereira CML 34 9 0 04 Mar 2022
Counterfactually Evaluating Explanations in Recommender Systems Yuanshun Yao Chong Wang Hang Li OffRL LRM 38 6 0 02 Mar 2022
Counterfactual Plans under Distributional Ambiguity N. Bui D. Nguyen Viet Anh Nguyen 64 24 0 29 Jan 2022
Principled Diverse Counterfactuals in Multilinear Models I. Papantonis Vaishak Belle AAML 30 3 0 17 Jan 2022
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates Dan Ley Umang Bhatt Adrian Weller UQCV 178 22 0 05 Dec 2021
Counterfactual Explanations via Latent Space Projection and Interpolation Brian Barr Matthew R. Harrington Samuel Sharpe Capital One BDL 38 10 0 02 Dec 2021
Multi-objective Explanations of GNN Predictions Yifei Liu Chao Chen Yazheng Liu Xi Zhang Sihong Xie 24 13 0 29 Nov 2021
Post-discovery Analysis of Anomalous Subsets I. Mulang' William Ogallo G. Tadesse Aisha Walcott-Bryant 29 1 0 23 Nov 2021
Counterfactual Shapley Additive Explanations Emanuele Albini Jason Long Danial Dervovic Daniele Magazzeni 28 49 0 27 Oct 2021
ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive Models Kiran Purohit Soumili Das Jia Wang He Zhu Santu Rana Gabriele Tolomei CML OffRL 41 36 0 22 Oct 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 49 650 0 05 Oct 2021
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms Martin Pawelczyk Sascha Bielawski J. V. D. Heuvel Tobias Richter Gjergji Kasneci CML 24 105 0 02 Aug 2021
Rational Shapley Values David S. Watson 23 20 0 18 Jun 2021
Optimal Counterfactual Explanations in Tree Ensembles Axel Parmentier Thibaut Vidal 19 54 0 11 Jun 2021
Amortized Generation of Sequential Algorithmic Recourses for Black-box Models Sahil Verma Keegan E. Hines John P. Dickerson 22 23 0 07 Jun 2021
Causality-based Counterfactual Explanation for Classification Models Tri Dung Duong Qian Li Guandong Xu CML 11 1 0 03 May 2021
Optimal Counterfactual Explanations for Scorecard modelling Guillermo Navas-Palencia 16 9 0 17 Apr 2021
LEx: A Framework for Operationalising Layers of Machine Learning Explanations Ronal Singh Upol Ehsan M. Cheong Mark O. Riedl Tim Miller 32 3 0 15 Apr 2021
δ-CLUE: Diverse Sets of Explanations for Uncertainty Estimates Dan Ley Umang Bhatt Adrian Weller UQCV 6 7 0 13 Apr 2021
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations Pau Rodríguez López Massimo Caccia Alexandre Lacoste L. Zamparo I. Laradji Laurent Charlin David Vazquez AAML 37 55 0 18 Mar 2021
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications Yu-Liang Chou Catarina Moreira P. Bruza Chun Ouyang Joaquim A. Jorge CML 47 176 0 07 Mar 2021
Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms Miguel Á. Carreira-Perpiñán Suryabhan Singh Hada CML AAML 18 33 0 01 Mar 2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques Mark T. Keane Eoin M. Kenny Eoin Delaney Barry Smyth CML 27 146 0 26 Feb 2021
Case Level Counterfactual Reasoning in Process Mining Mahnaz Sadat Qafari Wil M.P. van der Aalst LRM 9 12 0 25 Feb 2021
Directive Explanations for Actionable Explainability in Machine Learning Applications Ronal Singh Paul Dourish Piers Howe Tim Miller L. Sonenberg Eduardo Velloso F. Vetere 16 32 0 03 Feb 2021
Explaining NLP Models via Minimal Contrastive Editing (MiCE) Alexis Ross Ana Marasović Matthew E. Peters 38 121 0 27 Dec 2020
A Survey on the Explainability of Supervised Machine Learning Nadia Burkart Marco F. Huber FaML XAI 25 753 0 16 Nov 2020
Declarative Approaches to Counterfactual Explanations for Classification Leopoldo Bertossi 42 17 0 15 Nov 2020
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
Scaling Guarantees for Nearest Counterfactual Explanations Kiarash Mohammadi Amir-Hossein Karimi Gilles Barthe Isabel Valera LRM 9 30 0 10 Oct 2020
A Series of Unfortunate Counterfactual Events: the Role of Time in Counterfactual Explanations Andrea Ferrario M. Loi 25 5 0 09 Oct 2020
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects Amir-Hossein Karimi Gilles Barthe Bernhard Schölkopf Isabel Valera FaML 14 172 0 08 Oct 2020
Instance-based Counterfactual Explanations for Time Series Classification Eoin Delaney Derek Greene Mark T. Keane CML AI4TS 19 89 0 28 Sep 2020
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples Timo Freiesleben GAN 46 62 0 11 Sep 2020