Learning Interpretable Decision Rule Sets: A Submodular Optimization
Approach

Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach

8 June 2022

Fan Yang

Papers citing "Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach"

5 / 5 papers shown

Title
MoRE-LLM: Mixture of Rule Experts Guided by a Large Language Model Alexander Koebler Ingo Thon Florian Buettner 37 0 0 26 Mar 2025
Probabilistic Truly Unordered Rule Sets Lincen Yang M. Leeuwen 31 0 0 18 Jan 2024
Personalized Interpretable Classification Zengyou He Yifan Tang Yifan Tang Lianyu Hu Yan Liu Yan Liu 25 0 0 06 Feb 2023
A Scalable, Interpretable, Verifiable & Differentiable Logic Gate Convolutional Neural Network Architecture From Truth Tables Adrien Benamira Tristan Guérand Thomas Peyrin Trevor Yap Bryan Hooi 37 1 0 18 Aug 2022
Learning Certifiably Optimal Rule Lists for Categorical Data E. Angelino Nicholas Larus-Stone Daniel Alabi Margo Seltzer Cynthia Rudin 54 195 0 06 Apr 2017