On the Tractability of SHAP Explanations

18 September 2020

Papers citing "On the Tractability of SHAP Explanations"

21 / 71 papers shown

Title
Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology Syed Ashar Javed Dinkar Juyal Harshith Padigela A. Taylor-Weiner Limin Yu Aaditya (Adi) Prakash 21 63 0 03 Jun 2022
Unfooling Perturbation-Based Post Hoc Explainers Zachariah Carmichael Walter J. Scheirer AAML 63 14 0 29 May 2022
Towards a Theory of Faithfulness: Faithful Explanations of Differentiable Classifiers over Continuous Data Nico Potyka Xiang Yin Francesca Toni FAtt 22 2 0 19 May 2022
Tractable Boolean and Arithmetic Circuits Adnan Darwiche TPM 41 12 0 07 Feb 2022
Toward a Unified Framework for Debugging Concept-based Models A. Bontempelli Fausto Giunchiglia Andrea Passerini Stefano Teso 20 4 0 23 Sep 2021
Reasoning about Counterfactuals and Explanations: Problems, Results and Directions Leopoldo Bertossi LRM 24 0 0 25 Aug 2021
FastSHAP: Real-Time Shapley Value Estimation N. Jethani Mukund Sudarshan Ian Covert Su-In Lee Rajesh Ranganath TDI FAtt 67 127 0 15 Jul 2021
Score-Based Explanations in Data Management and Machine Learning: An Answer-Set Programming Approach to Counterfactual Analysis Leopoldo Bertossi 27 4 0 19 Jun 2021
An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data Lev V. Utkin A. Konstantinov Kirill Vishniakov FAtt 29 6 0 16 Jun 2021
A Framework for Evaluating Post Hoc Feature-Additive Explainers Zachariah Carmichael Walter J. Scheirer FAtt 46 4 0 15 Jun 2021
Pitfalls of Explainable ML: An Industry Perspective Sahil Verma Aditya Lahiri John P. Dickerson Su-In Lee XAI 16 9 0 14 Jun 2021
Tractable Regularization of Probabilistic Circuits Guy Van den Broeck Mathias Niepert TPM 11 31 0 04 Jun 2021
On Efficiently Explaining Graph-Based Classifiers Xuanxiang Huang Yacine Izza Alexey Ignatiev Sasha Rubin FAtt 36 37 0 02 Jun 2021
Explanations for Monotonic Classifiers Sasha Rubin Thomas Gerspacher M. Cooper Alexey Ignatiev Nina Narodytska FAtt 14 43 0 01 Jun 2021
Evaluating the Values of Sources in Transfer Learning Md. Rizwan Parvez Kai-Wei Chang 14 18 0 26 Apr 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
Coalitional strategies for efficient individual prediction explanation Gabriel Ferrettini Elodie Escriva Julien Aligon Jean-Baptiste Excoffier C. Soulé-Dupuy 33 17 0 01 Apr 2021
Ensembles of Random SHAPs Lev V. Utkin A. Konstantinov FAtt 16 20 0 04 Mar 2021
Declarative Approaches to Counterfactual Explanations for Classification Leopoldo Bertossi 42 17 0 15 Nov 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