Genetic programming approaches to learning fair classifiers

28 April 2020

Papers citing "Genetic programming approaches to learning fair classifiers"

7 / 7 papers shown

Title
Optimizing Neural Networks with Gradient Lexicase Selection Lijie Ding Lee Spector 40 20 0 19 Dec 2023
Lexicase Selection at Scale Lijie Ding Ryan Boldi Thomas Helmuth Lee Spector 14 10 0 23 Aug 2022
The Environmental Discontinuity Hypothesis for Down-Sampled Lexicase Selection Ryan Boldi Thomas Helmuth Lee Spector 25 5 0 31 May 2022
Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression Dazhuang Liu M. Virgolin Tanja Alderliesten Peter A. N. Bosman 31 12 0 14 Feb 2022
On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations M. Virgolin Saverio Fracaros CML 26 36 0 22 Jan 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 28 248 0 29 Jul 2021
Probabilistic Verification of Neural Networks Against Group Fairness Bing-Jie Sun Jun Sun Ting Dai Lijun Zhang AAML 13 22 0 18 Jul 2021