Genetic programming approaches to learning fair classifiers

Annual Conference on Genetic and Evolutionary Computation (GECCO), 2020

28 April 2020

Papers citing "Genetic programming approaches to learning fair classifiers"

11 / 11 papers shown

Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems

Alexander Brownlee

281

12 Jun 2024

Optimizing Neural Networks with Gradient Lexicase Selection

Lijie Ding

Lee Spector

256

19 Dec 2023

Fair Feature Selection: A Comparison of Multi-Objective Genetic Algorithms

James Brookhouse

Alex Freitas

FaML

144

04 Oct 2023

Probabilistic Lexicase SelectionAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2023

Lijie Ding

Edward R. Pantridge

Lee Spector

271

19 May 2023

Optimizing fairness tradeoffs in machine learning with multiobjective meta-modelsAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2023

William La Cava

FaML

177

21 Apr 2023

Lexicase Selection at Scale

196

23 Aug 2022

The Environmental Discontinuity Hypothesis for Down-Sampled Lexicase Selection

Ryan Boldi

Thomas Helmuth

Lee Spector

221

31 May 2022

Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic RegressionAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2022

321

14 Feb 2022

On the Robustness of Sparse Counterfactual Explanations to Adverse PerturbationsArtificial Intelligence (AIJ), 2022

M. Virgolin

Saverio Fracaros

CML

376

22 Jan 2022

Contemporary Symbolic Regression Methods and their Relative Performance

William La Cava

Patryk Orzechowski

Bogdan Burlacu

Fabrício Olivetti de Francca

456

375

29 Jul 2021

Probabilistic Verification of Neural Networks Against Group FairnessWorld Congress on Formal Methods (FM), 2021

Jun Sun

148

18 Jul 2021