Generalized Linear Rule Models

5 June 2019

Papers citing "Generalized Linear Rule Models"

31 / 31 papers shown

Title
Bias Detection via Maximum Subgroup Discrepancy Jiří Němeček Mark Kozdoba Illia Kryvoviaz Tomáš Pevný Jakub Mareˇcek 220 0 0 04 Feb 2025
Compact Rule-Based Classifier Learning via Gradient Descent Javier Fumanal-Idocin Raquel Fernandez-Peralta Javier Andreu-Perez 98 0 0 03 Feb 2025
Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual Explanations Stephen Carrow Kyle Harper Erwin Olga Vilenskaia Parikshit Ram Tim Klinger Naweed Khan Ndivhuwo Makondo Alexander Gray 47 1 0 10 Oct 2024
Learning Cut Generating Functions for Integer Programming Hongyu Cheng Amitabh Basu 45 2 0 22 May 2024
Distilled Datamodel with Reverse Gradient Matching Jingwen Ye Ruonan Yu Songhua Liu Xinchao Wang DD 108 3 0 22 Apr 2024
Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles Fan Yang P. L. Bodic Michael Kamp Mario Boley 49 0 0 24 Feb 2024
MINTY: Rule-based Models that Minimize the Need for Imputing Features with Missing Values Lena Stempfle Fredrik D. Johansson 96 3 0 23 Nov 2023
Learning Interpretable Rules for Scalable Data Representation and Classification Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 56 8 0 22 Oct 2023
A New Interpretable Neural Network-Based Rule Model for Healthcare Decision Making Adrien Benamira Tristan Guérand Thomas Peyrin AI4CE 43 0 0 20 Sep 2023
Reinforcement Logic Rule Learning for Temporal Point Processes Chao Yang Lu Wang Kun Gao Shuang Li AI4TS 31 0 0 11 Aug 2023
Learning Locally Interpretable Rule Ensemble Kentaro Kanamori 102 0 0 20 Jun 2023
FIRE: An Optimization Approach for Fast Interpretable Rule Extraction Brian Liu Rahul Mazumder 54 6 0 12 Jun 2023
Explaining with Greater Support: Weighted Column Sampling Optimization for q-Consistent Summary-Explanations Chen Peng Zhengqi Dai Guangping Xia Yajie Niu Yihui Lei 45 0 0 09 Feb 2023
Personalized Interpretable Classification Zengyou He Yifan Tang Yifan Tang Lianyu Hu Yan Liu Yan Liu 90 0 0 06 Feb 2023
Deep Explainable Learning with Graph Based Data Assessing and Rule Reasoning Yuanlong Li Gaopan Huang Min Zhou Chuan Fu Honglin Qiao Yan He 64 1 0 09 Nov 2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach Dennis L. Wei Rahul Nair Amit Dhurandhar Kush R. Varshney Elizabeth M. Daly Moninder Singh FAtt 75 9 0 02 Nov 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 67 2 0 18 Aug 2022
Explainability in Process Outcome Prediction: Guidelines to Obtain Interpretable and Faithful Models Alexander Stevens Johannes De Smedt XAI FaML 110 14 0 30 Mar 2022
Interpretable and Fair Boolean Rule Sets via Column Generation Connor Lawless S. Dash Oktay Gunluk Dennis L. Wei FaML 101 13 0 16 Nov 2021
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences Q. V. Liao R. Varshney 113 234 0 20 Oct 2021
Scalable Rule-Based Representation Learning for Interpretable Classification Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 79 63 0 30 Sep 2021
AI Explainability 360: Impact and Design Vijay Arya Rachel K. E. Bellamy Pin-Yu Chen Amit Dhurandhar Michael Hind ... Karthikeyan Shanmugam Moninder Singh Kush R. Varshney Dennis L. Wei Yunfeng Zhang 53 16 0 24 Sep 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 97 93 0 28 Jul 2021
Feature Cross Search via Submodular Optimization Lin Chen Hossein Esfandiari Gang Fu Vahab S. Mirrokni Qian-long Yu 59 6 0 05 Jul 2021
Rule Generation for Classification: Scalability, Interpretability, and Fairness Tabea E. Rober Adia C. Lumadjeng M. Akyuz cS. .Ilker Birbil 124 2 0 21 Apr 2021
Interpretable Random Forests via Rule Extraction Clément Bénard Gérard Biau Sébastien Da Veiga Erwan Scornet 33 59 0 29 Apr 2020
Questioning the AI: Informing Design Practices for Explainable AI User Experiences Q. V. Liao D. Gruen Sarah Miller 140 726 0 08 Jan 2020
Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVM A. Barbado Óscar Corcho Richard Benjamins 59 54 0 21 Nov 2019
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques Vijay Arya Rachel K. E. Bellamy Pin-Yu Chen Amit Dhurandhar Michael Hind ... Karthikeyan Shanmugam Moninder Singh Kush R. Varshney Dennis L. Wei Yunfeng Zhang XAI 76 392 0 06 Sep 2019
Characterization of Overlap in Observational Studies Michael Oberst Fredrik D. Johansson Dennis L. Wei Tian Gao G. Brat David Sontag Kush R. Varshney CML 50 22 0 09 Jul 2019
Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effect Tong Wang Cynthia Rudin CML BDL 97 27 0 16 Oct 2017