Explanations for Monotonic Classifiers

1 June 2021

Papers citing "Explanations for Monotonic Classifiers"

26 / 26 papers shown

Title
Ranking Counterfactual Explanations Suryani Lim H. Prade G. Richard CML 94 0 0 20 Mar 2025
Explaining k-Nearest Neighbors: Abductive and Counterfactual Explanations Pablo Barceló Alexander Kozachinskiy Miguel Romero Orth Bernardo Subercaseaux José Verschae FAtt 73 2 0 10 Jan 2025
Hard to Explain: On the Computational Hardness of In-Distribution Model Interpretation Guy Amir Shahaf Bassan Guy Katz 83 3 0 07 Aug 2024
Local vs. Global Interpretability: A Computational Complexity Perspective Shahaf Bassan Guy Amir Guy Katz 110 11 0 05 Jun 2024
Model Reconstruction Using Counterfactual Explanations: Mitigating the Decision Boundary Shift Pasan Dissanayake Sanghamitra Dutta 96 1 0 08 May 2024
Anytime Approximate Formal Feature Attribution Jinqiang Yu Graham Farr Alexey Ignatiev Peter Stuckey 94 2 0 12 Dec 2023
Axiomatic Aggregations of Abductive Explanations Gagan Biradar Yacine Izza Elita Lobo Vignesh Viswanathan Yair Zick FAtt 108 6 0 29 Sep 2023
On Formal Feature Attribution and Its Approximation Jinqiang Yu Alexey Ignatiev Peter Stuckey 125 8 0 07 Jul 2023
Disproving XAI Myths with Formal Methods -- Initial Results Sasha Rubin 87 9 0 13 May 2023
A New Class of Explanations for Classifiers with Non-Binary Features Chunxi Ji Adnan Darwiche FAtt 92 3 0 28 Apr 2023
Finding Minimum-Cost Explanations for Predictions made by Tree Ensembles John Törnblom Emil Karlsson Simin Nadjm-Tehrani FAtt 165 0 0 16 Mar 2023
The Inadequacy of Shapley Values for Explainability Xuanxiang Huang Sasha Rubin FAtt 107 41 0 16 Feb 2023
On the Complexity of Enumerating Prime Implicants from Decision-DNNF Circuits Alexis de Colnet Pierre Marquis 60 9 0 30 Jan 2023
Some recent advances in reasoning based on analogical proportions Myriam Bounhas H. Prade G. Richard 77 1 0 22 Dec 2022
On Computing Probabilistic Abductive Explanations Yacine Izza Xuanxiang Huang Alexey Ignatiev Nina Narodytska Martin C. Cooper Sasha Rubin FAtt XAI 111 20 0 12 Dec 2022
Feature Necessity & Relevancy in ML Classifier Explanations Xuanxiang Huang Martin C. Cooper António Morgado Jordi Planes Sasha Rubin FAtt 74 19 0 27 Oct 2022
Logic-Based Explainability in Machine Learning Sasha Rubin LRM XAI 150 40 0 24 Oct 2022
On Computing Relevant Features for Explaining NBCs Yacine Izza Sasha Rubin 97 5 0 11 Jul 2022
On Computing Probabilistic Explanations for Decision Trees Marcelo Arenas Pablo Barceló M. Romero Bernardo Subercaseaux FAtt 94 42 0 30 Jun 2022
Eliminating The Impossible, Whatever Remains Must Be True Jinqiang Yu Alexey Ignatiev Peter Stuckey Nina Narodytska Sasha Rubin 96 23 0 20 Jun 2022
On Tackling Explanation Redundancy in Decision Trees Yacine Izza Alexey Ignatiev Sasha Rubin FAtt 102 64 0 20 May 2022
Cardinality-Minimal Explanations for Monotonic Neural Networks Ouns El Harzli Bernardo Cuenca Grau Ian Horrocks FAtt 80 6 0 19 May 2022
Defining and Quantifying the Emergence of Sparse Concepts in DNNs Jie Ren Mingjie Li Qirui Chen Huiqi Deng Quanshi Zhang 135 33 0 11 Nov 2021
On Efficiently Explaining Graph-Based Classifiers Xuanxiang Huang Yacine Izza Alexey Ignatiev Sasha Rubin FAtt 118 39 0 02 Jun 2021
On Explaining Random Forests with SAT Yacine Izza Sasha Rubin FAtt 123 75 0 21 May 2021
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.3K 17,241 0 16 Feb 2016