Scalable Bayesian Rule Lists

27 February 2016

Papers citing "Scalable Bayesian Rule Lists"

36 / 36 papers shown

Title
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning Numair Sani Daniel Malinsky I. Shpitser CML 79 15 0 10 Jan 2025
Probabilistic Truly Unordered Rule Sets Lincen Yang M. Leeuwen 31 0 0 18 Jan 2024
HCDIR: End-to-end Hate Context Detection, and Intensity Reduction model for online comments Neeraj Kumar Singh Koyel Ghosh Joy Mahapatra Utpal Garain Apurbalal Senapati 11 0 0 20 Dec 2023
Learning Interpretable Rules for Scalable Data Representation and Classification Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 30 6 0 22 Oct 2023
Take 5: Interpretable Image Classification with a Handful of Features Thomas Norrenbrock Marco Rudolph Bodo Rosenhahn FAtt 40 7 0 23 Mar 2023
RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions Yunlong Wang Shuyuan Shen Brian Y. Lim 36 88 0 19 Feb 2023
bsnsing: A decision tree induction method based on recursive optimal boolean rule composition Yan-ching Liu 33 6 0 30 May 2022
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection Thabang Mathonsi Terence L van Zyl 35 0 0 25 Feb 2022
Computing Rule-Based Explanations of Machine Learning Classifiers using Knowledge Graphs Edmund Dervakos Orfeas Menis-Mastromichalakis A. Chortaras Giorgos Stamou FAtt 19 6 0 08 Feb 2022
McXai: Local model-agnostic explanation as two games Yiran Huang Nicole Schaal Michael Hefenbrock Yexu Zhou T. Riedel Likun Fang Michael Beigl FAtt 20 4 0 04 Jan 2022
Scalable Rule-Based Representation Learning for Interpretable Classification Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 37 61 0 30 Sep 2021
An Exploration And Validation of Visual Factors in Understanding Classification Rule Sets Jun Yuan O. Nov E. Bertini 20 10 0 19 Sep 2021
Logic Explained Networks Gabriele Ciravegna Pietro Barbiero Francesco Giannini Marco Gori Pietro Lió Marco Maggini S. Melacci 37 69 0 11 Aug 2021
Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff Michael J. Naylor C. French Samantha R. Terker Uday Kamath 36 10 0 12 Jul 2021
Evaluating the Correctness of Explainable AI Algorithms for Classification Orcun Yalcin Xiuyi Fan Siyuan Liu XAI FAtt 16 15 0 20 May 2021
SAT-Based Rigorous Explanations for Decision Lists Alexey Ignatiev Sasha Rubin XAI 25 44 0 14 May 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 59 653 0 20 Mar 2021
EUCA: the End-User-Centered Explainable AI Framework Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Ghassan Hamarneh 40 24 0 04 Feb 2021
On Explaining Decision Trees Yacine Izza Alexey Ignatiev Sasha Rubin FAtt 24 85 0 21 Oct 2020
Model extraction from counterfactual explanations Ulrich Aïvodji Alexandre Bolot Sébastien Gambs MIACV MLAU 30 51 0 03 Sep 2020
Interpretation and Simplification of Deep Forest Sangwon Kim Mira Jeong ByoungChul Ko FAtt 19 8 0 14 Jan 2020
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 11 29 0 10 Dec 2019
Towards Quantification of Explainability in Explainable Artificial Intelligence Methods Sheikh Rabiul Islam W. Eberle S. Ghafoor XAI 14 42 0 22 Nov 2019
LIBRE: Learning Interpretable Boolean Rule Ensembles Graziano Mita Paolo Papotti Maurizio Filippone Pietro Michiardi 8 16 0 15 Nov 2019
A Decision-Theoretic Approach for Model Interpretability in Bayesian Framework Homayun Afrabandpey Tomi Peltola Juho Piironen Aki Vehtari Samuel Kaski 17 3 0 21 Oct 2019
MonoNet: Towards Interpretable Models by Learning Monotonic Features An-phi Nguyen María Rodríguez Martínez FAtt 16 13 0 30 Sep 2019
The Price of Interpretability Dimitris Bertsimas A. Delarue Patrick Jaillet Sébastien Martin 23 33 0 08 Jul 2019
Generalized Linear Rule Models Dennis L. Wei S. Dash Tian Gao Oktay Gunluk 15 63 0 05 Jun 2019
Hybrid Predictive Model: When an Interpretable Model Collaborates with a Black-box Model Tong Wang Qihang Lin 38 19 0 10 May 2019
On the Art and Science of Machine Learning Explanations Patrick Hall FAtt XAI 20 30 0 05 Oct 2018
RuleMatrix: Visualizing and Understanding Classifiers with Rules Yao Ming Huamin Qu E. Bertini FAtt 20 214 0 17 Jul 2018
Rule Induction Partitioning Estimator Vincent Margot Jean-Patrick Baudry Frédéric Guilloux Olivier Wintenberger 11 4 0 12 Jul 2018
Boolean Decision Rules via Column Generation S. Dash Oktay Gunluk Dennis L. Wei 24 174 0 24 May 2018
Using Program Induction to Interpret Transition System Dynamics Svetlin Penkov S. Ramamoorthy AI4CE 25 11 0 26 Jul 2017
Interpreting Blackbox Models via Model Extraction Osbert Bastani Carolyn Kim Hamsa Bastani FAtt 24 170 0 23 May 2017
Learning Certifiably Optimal Rule Lists for Categorical Data E. Angelino Nicholas Larus-Stone Daniel Alabi Margo Seltzer Cynthia Rudin 60 195 0 06 Apr 2017