MLStar: A System for Synthesis of Machine-Learning Programs
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{kopito:2023:ECADA,
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author = "Gabriel Kopito and Jonathan Schwartz and
Julien Amblard and Robert Filman and Landon Rabern",
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title = "{MLStar:} A System for Synthesis of {Machine-Learning}
Programs",
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booktitle = "13th Workshop on Evolutionary Computation for the
Automated Design of Algorithms",
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year = "2023",
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editor = "Daniel Tauritz and John Woodward and Emma Hart",
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pages = "1721--1726",
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address = "Lisbon, Portugal",
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series = "GECCO '23",
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month = "15-19 " # jul,
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organisation = "SIGEVO",
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publisher = "Association for Computing Machinery",
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publisher_address = "New York, NY, USA",
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keywords = "genetic algorithms, genetic programming, ScikitLearn,
directed acyclic graphs, auto-ML",
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isbn13 = "9798400701191",
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DOI = "doi:10.1145/3583133.3596367",
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size = "6 pages",
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abstract = "This paper introduces our auto-ML system, MLStar,
which uses genetic programming to create scikit-learn
and Keras-based Python programs to perform supervised
learning. MLStar leverages our own genetic programming
system (GPStar4) and provides a greater search space
compared to traditional genetic programming
frameworks.Key elements that enable MLStar's
performance include representing individuals as
Directed Acyclic Graphs (DAGs), a rich type system to
shape the kinds of graphs generated, novel genetic
operators which work on the DAG structure, and advanced
hyperparameter tuning via the Optuna hyperparameter
optimization framework. MLStar also offers
multiobjective fitnesses and a variety of complex
population types.We show that MLStar performs favorably
to several other auto-ML frameworks on benchmark tests.
We also demonstrate that MLStar is capable of
competitive solutions even when running with
computationally expensive features disabled.",
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notes = "GECCO-2023 A Recombination of the 32nd International
Conference on Genetic Algorithms (ICGA) and the 28th
Annual Genetic Programming Conference (GP)",
- }
Genetic Programming entries for
Gabriel Kopito
Jonathan Schwartz
Julien Amblard
Robert Filman
Landon Rabern
Citations