Boolean Decision Rules via Column Generation

24 May 2018

Papers citing "Boolean Decision Rules via Column Generation"

32 / 32 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
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect Jiehui Zhou Linxiao Yang Xingyu Liu Xinyue Gu Lin Sun Wei Chen CML 39 0 0 01 Jul 2024
Trust Regions for Explanations via Black-Box Probabilistic Certification Amit Dhurandhar Swagatam Haldar Dennis L. Wei K. Ramamurthy FAtt 40 2 0 17 Feb 2024
Probabilistic Truly Unordered Rule Sets Lincen Yang M. Leeuwen 31 0 0 18 Jan 2024
Co-creating a globally interpretable model with human input Rahul Nair 7 0 0 23 Jun 2023
Interpretable Differencing of Machine Learning Models Swagatam Haldar Diptikalyan Saha Dennis L. Wei Rahul Nair Elizabeth M. Daly 16 1 0 10 Jun 2023
Interpretable Regional Descriptors: Hyperbox-Based Local Explanations Susanne Dandl Giuseppe Casalicchio Bernd Bischl Ludwig Bothmann 23 8 0 04 May 2023
Explaining with Greater Support: Weighted Column Sampling Optimization for q-Consistent Summary-Explanations Chen Peng Zhengqi Dai Guangping Xia Yajie Niu Yihui Lei 23 0 0 09 Feb 2023
Personalized Interpretable Classification Zengyou He Yifan Tang Yifan Tang Lianyu Hu Yan Liu Yan Liu 25 0 0 06 Feb 2023
Interpretable Selective Learning in Credit Risk Dangxing Chen Weicheng Ye Jiahui Ye FaML 30 14 0 21 Sep 2022
A Scalable, Interpretable, Verifiable & Differentiable Logic Gate Convolutional Neural Network Architecture From Truth Tables Adrien Benamira Tristan Guérand Thomas Peyrin Trevor Yap Bryan Hooi 40 1 0 18 Aug 2022
Leveraging Explanations in Interactive Machine Learning: An Overview Stefano Teso Öznur Alkan Wolfgang Stammer Elizabeth M. Daly XAI FAtt LRM 26 62 0 29 Jul 2022
Interpretable Off-Policy Learning via Hyperbox Search D. Tschernutter Tobias Hatt Stefan Feuerriegel OffRL CML 50 5 0 04 Mar 2022
Analogies and Feature Attributions for Model Agnostic Explanation of Similarity Learners K. Ramamurthy Amit Dhurandhar Dennis L. Wei Zaid Bin Tariq FAtt 38 3 0 02 Feb 2022
POTATO: exPlainable infOrmation exTrAcTion framewOrk Adam Kovacs Kinga Gémes Eszter Iklódi Gábor Recski 35 4 0 31 Jan 2022
Efficient Decompositional Rule Extraction for Deep Neural Networks Mateo Espinosa Zarlenga Z. Shams M. Jamnik 14 16 0 24 Nov 2021
Rule Induction in Knowledge Graphs Using Linear Programming S. Dash Joao Goncalves 26 5 0 15 Oct 2021
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations Upol Ehsan Samir Passi Q. V. Liao Larry Chan I-Hsiang Lee Michael J. Muller Mark O. Riedl 32 85 0 28 Jul 2021
MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI T. Miura Satoshi Hasegawa Toshiki Shibahara SILM MIACV 21 37 0 19 Jul 2021
Zero-shot learning approach to adaptive Cybersecurity using Explainable AI Dattaraj J. Rao Shraddha Mane AAML 24 11 0 21 Jun 2021
Controlling Neural Networks with Rule Representations Sungyong Seo Sercan Ö. Arik Jinsung Yoon Xiang Zhang Kihyuk Sohn Tomas Pfister OOD AI4CE 32 35 0 14 Jun 2021
A Holistic Approach to Interpretability in Financial Lending: Models, Visualizations, and Summary-Explanations Chaofan Chen Kangcheng Lin Cynthia Rudin Yaron Shaposhnik Sijia Wang Tong Wang 19 41 0 04 Jun 2021
Rule Generation for Classification: Scalability, Interpretability, and Fairness Tabea E. Rober Adia C. Lumadjeng M. Akyuz cS. .Ilker Birbil 22 2 0 21 Apr 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
Explaining Network Intrusion Detection System Using Explainable AI Framework Shraddha Mane Dattaraj J. Rao AAML 25 69 0 12 Mar 2021
Model extraction from counterfactual explanations Ulrich Aïvodji Alexandre Bolot Sébastien Gambs MIACV MLAU 30 51 0 03 Sep 2020
IPBoost -- Non-Convex Boosting via Integer Programming M. Pfetsch Sebastian Pokutta 14 6 0 11 Feb 2020
Questioning the AI: Informing Design Practices for Explainable AI User Experiences Q. V. Liao D. Gruen Sarah Miller 52 702 0 08 Jan 2020
LIBRE: Learning Interpretable Boolean Rule Ensembles Graziano Mita Paolo Papotti Maurizio Filippone Pietro Michiardi 8 16 0 15 Nov 2019
Generalized Linear Rule Models Dennis L. Wei S. Dash Tian Gao Oktay Gunluk 15 63 0 05 Jun 2019
Column generation based math-heuristic for classification trees M. Firat Guillaume Crognier A. Gabor C. Hurkens Yingqian Zhang 17 7 0 15 Oct 2018
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