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William La Cava

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CE1
  • cs.LG1
ORCID 0000-0002-1332-2960

identity via Semantic Scholar / OpenAlex

most citedCall for Action: towards the next generation of symbolic regression benchmark

5 citations · 5 across the 2 of their papers we have counts for

collaborators
Showing cs.NEShow all

3 papers · 1 filter

cs.NE2024★ 1 cited

Minimum variance threshold for epsilon-lexicase selection

Guilherme Seidyo Imai Aldeia, Fabricio Olivetti de Franca, William G. La Cava

Parent selection plays an important role in evolutionary algorithms, and many strategies exist to select the parent pool before breeding the next generation. Methods often rely on…

cs.NE2024★ 5 cited

Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing

Guilherme Seidyo Imai Aldeia, Fabricio Olivetti de Franca, William G. La Cava

Symbolic regression (SR) searches for parametric models that accurately fit a dataset, prioritizing simplicity and interpretability. Despite this secondary objective, studies point…

cs.NE2023★ 8 cited

Optimizing fairness tradeoffs in machine learning with multiobjective meta-models

William G. La Cava

Improving the fairness of machine learning models is a nuanced task that requires decision makers to reason about multiple, conflicting criteria. The majority of fair machine learn…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.