A Symbolic Approach to Explaining Bayesian Network Classifiers

9 May 2018

Papers citing "A Symbolic Approach to Explaining Bayesian Network Classifiers"

50 / 110 papers shown

Title
On Computing Probabilistic Explanations for Decision Trees Marcelo Arenas Pablo Barceló M. Romero Bernardo Subercaseaux FAtt 42 38 0 30 Jun 2022
ASTERYX : A model-Agnostic SaT-basEd appRoach for sYmbolic and score-based eXplanations Ryma Boumazouza Fahima Cheikh Bertrand Mazure Karim Tabia 6 31 0 23 Jun 2022
A Model-Agnostic SAT-based Approach for Symbolic Explanation Enumeration Ryma Boumazouza Fahima Cheikh-Alili Bertrand Mazure Karim Tabia 9 0 0 23 Jun 2022
A Symbolic Approach for Counterfactual Explanations Ryma Boumazouza Fahima Cheikh Bertrand Mazure Karim Tabia BDL 14 9 0 20 Jun 2022
Eliminating The Impossible, Whatever Remains Must Be True Jinqiang Yu Alexey Ignatiev Peter Stuckey Nina Narodytska Sasha Rubin 27 23 0 20 Jun 2022
Interpretability Guarantees with Merlin-Arthur Classifiers S. Wäldchen Kartikey Sharma Berkant Turan Max Zimmer Sebastian Pokutta FAtt 24 4 0 01 Jun 2022
On Tackling Explanation Redundancy in Decision Trees Yacine Izza Alexey Ignatiev Sasha Rubin FAtt 48 59 0 20 May 2022
Cardinality-Minimal Explanations for Monotonic Neural Networks Ouns El Harzli Bernardo Cuenca Grau Ian Horrocks FAtt 40 5 0 19 May 2022
Provably Precise, Succinct and Efficient Explanations for Decision Trees Yacine Izza Alexey Ignatiev Nina Narodytska Martin C. Cooper Sasha Rubin FAtt 40 7 0 19 May 2022
On the Computation of Necessary and Sufficient Explanations Adnan Darwiche Chunxi Ji FAtt 22 19 0 20 Mar 2022
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four S. Wäldchen Felix Huber Sebastian Pokutta FAtt 28 8 0 23 Feb 2022
On Deciding Feature Membership in Explanations of SDD & Related Classifiers Xuanxiang Huang Sasha Rubin FAtt LRM 13 3 0 15 Feb 2022
Tractable Boolean and Arithmetic Circuits Adnan Darwiche TPM 41 12 0 07 Feb 2022
Causal Explanations and XAI Sander Beckers CML XAI 28 35 0 31 Jan 2022
Principled Diverse Counterfactuals in Multilinear Models I. Papantonis Vaishak Belle AAML 30 3 0 17 Jan 2022
Interpretable Data-Based Explanations for Fairness Debugging Romila Pradhan Jiongli Zhu Boris Glavic Babak Salimi 16 53 0 17 Dec 2021
Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models Salim I. Amoukou Nicolas Brunel FAtt LRM 34 5 0 08 Nov 2021
Provably efficient, succinct, and precise explanations Guy Blanc Jane Lange Li-Yang Tan FAtt 37 35 0 01 Nov 2021
Foundations of Symbolic Languages for Model Interpretability Marcelo Arenas Daniel Baez Pablo Barceló Jorge A. Pérez Bernardo Subercaseaux ReLM LRM 21 24 0 05 Oct 2021
On Quantifying Literals in Boolean Logic and Its Applications to Explainable AI Adnan Darwiche Pierre Marquis 17 26 0 23 Aug 2021
Trading Complexity for Sparsity in Random Forest Explanations Gilles Audemard S. Bellart Louenas Bounia F. Koriche Jean-Marie Lagniez Pierre Marquis 19 38 0 11 Aug 2021
On the Explanatory Power of Decision Trees Gilles Audemard S. Bellart Louenas Bounia F. Koriche Jean-Marie Lagniez Pierre Marquis FAtt 14 11 0 11 Aug 2021
Logic Explained Networks Gabriele Ciravegna Pietro Barbiero Francesco Giannini Marco Gori Pietro Lio Marco Maggini S. Melacci 42 69 0 11 Aug 2021
Exact Learning Augmented Naive Bayes Classifier Shouta Sugahara M. Ueno BDL 20 31 0 07 Jul 2021
Efficient Explanations for Knowledge Compilation Languages Xuanxiang Huang Yacine Izza Alexey Ignatiev Martin C. Cooper Nicholas M. Asher Sasha Rubin 17 15 0 04 Jul 2021
On Efficiently Explaining Graph-Based Classifiers Xuanxiang Huang Yacine Izza Alexey Ignatiev Sasha Rubin FAtt 36 37 0 02 Jun 2021
Efficient Explanations With Relevant Sets Yacine Izza Alexey Ignatiev Nina Narodytska Martin C. Cooper Sasha Rubin FAtt 17 15 0 01 Jun 2021
Explanations for Monotonic Classifiers Sasha Rubin Thomas Gerspacher M. Cooper Alexey Ignatiev Nina Narodytska FAtt 14 43 0 01 Jun 2021
Argumentative XAI: A Survey Kristijonas vCyras Antonio Rago Emanuele Albini P. Baroni Francesca Toni 26 142 0 24 May 2021
On Explaining Random Forests with SAT Yacine Izza Sasha Rubin FAtt 22 72 0 21 May 2021
Probabilistic Sufficient Explanations Eric Wang Pasha Khosravi Mathias Niepert XAI FAtt TPM 30 23 0 21 May 2021
Evaluating the Correctness of Explainable AI Algorithms for Classification Orcun Yalcin Xiuyi Fan Siyuan Liu XAI FAtt 21 15 0 20 May 2021
SAT-Based Rigorous Explanations for Decision Lists Alexey Ignatiev Sasha Rubin XAI 27 44 0 14 May 2021
Sufficient reasons for classifier decisions in the presence of constraints Niku Gorji S. Rubin 9 3 0 12 May 2021
On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results Marcelo Arenas Pablo Barceló Leopoldo Bertossi Mikaël Monet FAtt 24 35 0 16 Apr 2021
On the Computational Intelligibility of Boolean Classifiers Gilles Audemard S. Bellart Louenas Bounia F. Koriche Jean-Marie Lagniez Pierre Marquis 24 56 0 13 Apr 2021
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals Sainyam Galhotra Romila Pradhan Babak Salimi CML 24 105 0 22 Mar 2021
On Relating 'Why?' and 'Why Not?' Explanations Alexey Ignatiev Nina Narodytska Nicholas M. Asher Sasha Rubin XAI FAtt LRM 28 26 0 21 Dec 2020
Influence-Driven Explanations for Bayesian Network Classifiers Antonio Rago Emanuele Albini P. Baroni Francesca Toni 12 9 0 10 Dec 2020
Deep Argumentative Explanations Emanuele Albini Piyawat Lertvittayakumjorn Antonio Rago Francesca Toni AAML 29 4 0 10 Dec 2020
Model Interpretability through the Lens of Computational Complexity Pablo Barceló Mikaël Monet Jorge A. Pérez Bernardo Subercaseaux 132 94 0 23 Oct 2020
On Explaining Decision Trees Yacine Izza Alexey Ignatiev Sasha Rubin FAtt 24 85 0 21 Oct 2020
Succinct Explanations With Cascading Decision Trees Jialu Zhang Yitan Wang Mark Santolucito R. Piskac 8 1 0 13 Oct 2020
Machine Reasoning Explainability K. Čyras R. Badrinath S. Mohalik A. Mujumdar Alexandros Nikou Alessandro Previti Vaishnavi Sundararajan Aneta Vulgarakis Feljan LRM 41 13 0 01 Sep 2020
Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay Sasha Rubin Thomas Gerspacher Martin C. Cooper Alexey Ignatiev Nina Narodytska FAtt 30 59 0 13 Aug 2020
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability Dylan Slack Sophie Hilgard Sameer Singh Himabindu Lakkaraju FAtt 29 162 0 11 Aug 2020
Computing Optimal Decision Sets with SAT Jinqiang Yu Alexey Ignatiev Peter Stuckey P. L. Bodic FAtt 22 26 0 29 Jul 2020
The Tractability of SHAP-Score-Based Explanations over Deterministic and Decomposable Boolean Circuits Marcelo Arenas Pablo Barceló Mikaël Monet FAtt 41 8 0 28 Jul 2020
On Symbolically Encoding the Behavior of Random Forests Arthur Choi Andy Shih Anchal Goyanka Adnan Darwiche AI4CE 9 31 0 03 Jul 2020
Explainable AI for Classification using Probabilistic Logic Inference Xiuyi Fan Siyuan Liu T. Henderson 23 2 0 05 May 2020