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2006.02482
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Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
10 January 2025
Numair Sani
Daniel Malinsky
I. Shpitser
CML
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Papers citing
"Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning"
50 / 55 papers shown
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314
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Greedy Relaxations of the Sparsest Permutation Algorithm
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Joseph Ramsey
400
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0
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Aditya Lahiri
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304
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Causal Explanations and XAI
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377
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03 Mar 2021
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E. Sijben
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Tom Claassen
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447
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03 Nov 2020
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M. T. Bahadori
David Heckerman
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501
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Concept Bottleneck Models
International Conference on Machine Learning (ICML), 2020
Pang Wei Koh
Thao Nguyen
Y. S. Tang
Stephen Mussmann
Emma Pierson
Been Kim
Abigail Z. Jacobs
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09 Jul 2020
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation
SIGKDD Explorations (SIGKDD Explor.), 2020
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Mansooreh Karami
Ruocheng Guo
A. Raglin
Huan Liu
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375
251
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Problems with Shapley-value-based explanations as feature importance measures
International Conference on Machine Learning (ICML), 2020
Indra Elizabeth Kumar
Suresh Venkatasubramanian
C. Scheidegger
Sorelle A. Friedler
TDI
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461
453
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25 Feb 2020
Algorithmic Recourse: from Counterfactual Explanations to Interventions
Conference on Fairness, Accountability and Transparency (FAccT), 2020
Amir-Hossein Karimi
Bernhard Schölkopf
Isabel Valera
CML
734
414
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14 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Neural Information Processing Systems (NeurIPS), 2020
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
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602
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Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers
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Chenhao Tan
Amit Sharma
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657
232
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06 Dec 2019
Feature relevance quantification in explainable AI: A causal problem
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Dominik Janzing
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Patrick Blobaum
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408
347
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29 Oct 2019
CXPlain: Causal Explanations for Model Interpretation under Uncertainty
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Patrick Schwab
W. Karlen
FAtt
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512
235
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27 Oct 2019
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Neural Information Processing Systems (NeurIPS), 2019
Chih-Kuan Yeh
Been Kim
Sercan O. Arik
Chun-Liang Li
Tomas Pfister
Pradeep Ravikumar
FAtt
745
355
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17 Oct 2019
Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems
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Oluwasanmi Koyejo
Warut D. Vijitbenjaronk
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Joydeep Ghosh
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326
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22 Jul 2019
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Jette Henderson
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20 May 2019
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Ziyan Wu
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16 Apr 2019
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Piyushi Manupriya
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A. Klimovskaia
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Joris M. Mooij
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Jiayi Ma
Chen Chen
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Z. Cai
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172
281
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26 Jun 2018
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Tommi Jaakkola
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Local Rule-Based Explanations of Black Box Decision Systems
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504
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28 May 2018
Boolean Decision Rules via Column Generation
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331
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Martin Wattenberg
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F. Viégas
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