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09/29/2022
Proportional Multicalibration
Multicalibration is a desirable fairness criteria that constrains calibr...
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04/13/2022
Population Diversity Leads to Short Running Times of Lexicase Selection
In this paper we investigate why the running time of lexicase parent sel...
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07/29/2021
Contemporary Symbolic Regression Methods and their Relative Performance
Many promising approaches to symbolic regression have been presented in ...
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11/30/2020
PMLB v1.0: An open source dataset collection for benchmarking machine learning methods
Motivation: Novel machine learning and statistical modeling studies rely...
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04/28/2020
Genetic programming approaches to learning fair classifiers
Society has come to rely on algorithms like classifiers for important de...
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05/30/2019
Epsilon-Lexicase Selection for Regression
Lexicase selection is a parent selection method that considers test case...
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05/22/2019
Evaluating recommender systems for AI-driven data science
We present a free and open-source platform to allow researchers to easil...
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04/18/2019
Semantic variation operators for multidimensional genetic programming
Multidimensional genetic programming represents candidate solutions as s...
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03/14/2019
Interpretation of machine learning predictions for patient outcomes in electronic health records
Electronic health records are an increasingly important resource for und...
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07/03/2018
Stochastic optimization approaches to learning concise representations
We propose and study a method for learning interpretable features via st...
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07/03/2018
Learning concise representations for regression by evolving networks of trees
We propose and study a method for learning interpretable representations...
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04/25/2018
Where are we now? A large benchmark study of recent symbolic regression methods
In this paper we provide a broad benchmarking of recent genetic programm...
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09/15/2017
ε-Lexicase selection: a probabilistic and multi-objective analysis of lexicase selection in continuous domains
Lexicase selection is a parent selection method that considers training ...
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08/08/2017
Data-driven Advice for Applying Machine Learning to Bioinformatics Problems
As the bioinformatics field grows, it must keep pace not only with new d...
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05/01/2017
A System for Accessible Artificial Intelligence
While artificial intelligence (AI) has become widespread, many commercia...
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03/20/2017
