Learning a Formula of Interpretability to Learn Interpretable Formulas

Learning a Formula of Interpretability to Learn Interpretable Formulas

23 April 2020

Francesca Randone

Papers citing "Learning a Formula of Interpretability to Learn Interpretable Formulas"

11 / 11 papers shown

Title
Social Interpretable Reinforcement Learning Leonardo Lucio Custode Giovanni Iacca OffRL 42 2 0 27 Jan 2024
Differentiable Genetic Programming for High-dimensional Symbolic Regression Peng Zeng Xiaotian Song Andrew Lensen Yuwei Ou Yanan Sun Mengjie Zhang Jiancheng Lv 37 2 0 18 Apr 2023
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search Pierre-Alexandre Kamienny Guillaume Lample Sylvain Lamprier M. Virgolin 34 25 0 22 Feb 2023
Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning M. Virgolin Eric Medvet Tanja Alderliesten Peter A. N. Bosman 29 6 0 05 Apr 2022
Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression Dazhuang Liu M. Virgolin Tanja Alderliesten Peter A. N. Bosman 44 12 0 14 Feb 2022
Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs Leonardo Lucio Custode Giovanni Iacca 27 13 0 10 Feb 2022
Contemporary Symbolic Regression Methods and their Relative Performance William La Cava Patryk Orzechowski Bogdan Burlacu Fabrício Olivetti de Francca M. Virgolin Ying Jin M. Kommenda J. Moore 47 249 0 29 Jul 2021
Model Learning with Personalized Interpretability Estimation (ML-PIE) M. Virgolin A. D. Lorenzo Francesca Randone Eric Medvet M. Wahde 24 29 0 13 Apr 2021
Evolutionary learning of interpretable decision trees Leonardo Lucio Custode Giovanni Iacca OffRL 41 40 0 14 Dec 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,690 0 28 Feb 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,090 0 24 Oct 2016