Lee Spector

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 112

Top Venues

CoRR

GECCO (Companion)

Genet. Program. Evolvable Mach.

GECCO Companion

Publications

Andrew Ni, Li Ding, Lee Spector
DALex: Lexicase-like Selection via Diverse Aggregation. CoRR (2024)
Andrew Ni, Lee Spector
Effective Adaptive Mutation Rates for Program Synthesis. CoRR (2024)
Ryan Boldi, Ashley Bao, Martin Briesch, Thomas Helmuth, Dominik Sobania, Lee Spector, Alexander Lalejini
A Comprehensive Analysis of Down-sampling for Genetic Programming-based Program Synthesis. GECCO Companion (2024)
Martin Briesch, Ryan Boldi, Dominik Sobania, Alexander Lalejini, Thomas Helmuth, Franz Rothlauf, Charles Ofria, Lee Spector
Improving Lexicase Selection with Informed Down-Sampling. GECCO Companion (2024)
Andrew Ni, Li Ding, Lee Spector
DALex: Lexicase-Like Selection via Diverse Aggregation. EuroGP (2024)
Ryan Boldi, Li Ding, Lee Spector, Scott Niekum
Pareto-Optimal Learning from Preferences with Hidden Context. CoRR (2024)
Thomas Helmuth, Jayden Fedoroff, Edward R. Pantridge, Lee Spector
Facilitating Function Application in Code Building Genetic Programming. GECCO (2024)
Ryan Boldi, Li Ding, Lee Spector
Solving Deceptive Problems Without Explicit Diversity Maintenance. GECCO Companion (2024)
Thomas Helmuth, Edward R. Pantridge, James Gunder Frazier, Lee Spector
Generational Computation Reduction in Informal Counterexample-Driven Genetic Programming. EuroGP (2024)
Andrew Ni, Lee Spector
Effective Adaptive Mutation Rates for Program Synthesis. GECCO (2024)
Andrew Ni, Lee Spector
Leveraging Symbolic Regression for Heuristic Design in the Traveling Thief Problem. CoRR (2024)
Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman
Quality Diversity through Human Feedback. CoRR (2023)
Ryan Boldi, Alexander Lalejini, Thomas Helmuth, Lee Spector
A Static Analysis of Informed Down-Samples. GECCO Companion (2023)
Ryan Boldi, Lee Spector
Can the Problem-Solving Benefits of Quality Diversity Be Obtained without Explicit Diversity Maintenance? GECCO Companion (2023)
Li Ding, Edward R. Pantridge, Lee Spector
Probabilistic Lexicase Selection. CoRR (2023)
Li Ding, Lee Spector
Optimizing Neural Networks with Gradient Lexicase Selection. CoRR (2023)
Li Ding, Lee Spector
Multi-Objective Evolutionary Architecture Search for Parameterized Quantum Circuits. Entropy 25 (1) (2023)
Lee Spector, Li Ding, Ryan Boldi
Particularity. CoRR (2023)
Ryan Boldi, Ashley Bao, Martin Briesch, Thomas Helmuth, Dominik Sobania, Lee Spector, Alexander Lalejini
The Problem Solving Benefits of Down-sampling Vary by Selection Scheme. GECCO Companion (2023)
Ryan Boldi, Ashley Bao, Martin Briesch, Thomas Helmuth, Dominik Sobania, Lee Spector, Alexander Lalejini
Analyzing the Interaction Between Down-Sampling and Selection. CoRR (2023)
Ryan Boldi, Li Ding, Lee Spector
Objectives Are All You Need: Solving Deceptive Problems Without Explicit Diversity Maintenance. CoRR (2023)
Ryan Boldi, Martin Briesch, Dominik Sobania, Alexander Lalejini, Thomas Helmuth, Franz Rothlauf, Charles Ofria, Lee Spector
Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving. CoRR (2023)
Ryan Boldi, Alexander Lalejini, Thomas Helmuth, Lee Spector
A Static Analysis of Informed Down-Samples. CoRR (2023)
Tony McCaffrey, Thomas E. Gorochowski, Lee Spector
Constructor algorithms for building unconventional computers able to solve NP-complete problems. CoRR (2023)
Ryan Boldi, Lee Spector
Can the Problem-Solving Benefits of Quality Diversity Be Obtained Without Explicit Diversity Maintenance? CoRR (2023)
Lee Spector, Li Ding, Ryan Boldi
Particularity. GPTP (2023)
Li Ding, Edward R. Pantridge, Lee Spector
Probabilistic Lexicase Selection. GECCO (2023)
Lee Spector
Acknowledgment to reviewers (2021). Genet. Program. Evolvable Mach. 23 (1) (2022)
Edward R. Pantridge, Thomas Helmuth, Lee Spector
Functional code building genetic programming. GECCO (2022)
Li Ding, Lee Spector
Evolutionary quantum architecture search for parametrized quantum circuits. GECCO Companion (2022)
Thomas Helmuth, Lee Spector
Problem-Solving Benefits of Down-Sampled Lexicase Selection. Artif. Life 27 (3-4) (2022)
Ryan Boldi, Thomas Helmuth, Lee Spector
The Environmental Discontinuity Hypothesis for Down-Sampled Lexicase Selection. CoRR (2022)
Li Ding, Ryan Boldi, Thomas Helmuth, Lee Spector
Lexicase selection at scale. GECCO Companion (2022)
Li Ding, Lee Spector
Optimizing Neural Networks with Gradient Lexicase Selection. ICLR (2022)
Li Ding, Ryan Boldi, Thomas Helmuth, Lee Spector
Going faster and hence further with lexicase selection. GECCO Companion (2022)
Edward R. Pantridge, Thomas Helmuth, Lee Spector
Functional Code Building Genetic Programming. CoRR (2022)
Li Ding, Lee Spector
Evolving Neural Selection with Adaptive Regularization. CoRR (2022)
Li Ding, Ryan Boldi, Thomas Helmuth, Lee Spector
Lexicase Selection at Scale. CoRR (2022)
Li Ding, Lee Spector
Evolutionary Quantum Architecture Search for Parametrized Quantum Circuits. CoRR (2022)
Anil Kumar Saini, Lee Spector, Thomas Helmuth
Environments with local scopes for modules in genetic programming. GECCO Companion (2022)
Lee Spector
Editorial introduction. Genet. Program. Evolvable Mach. 23 (1) (2022)
Anil Kumar Saini, Lee Spector
Relationships between parent selection methods, looping constructs, and success rate in genetic programming. Genet. Program. Evolvable Mach. 22 (4) (2021)
Lee Spector
Push. GECCO Companion (2021)
Li Ding, Lee Spector
Evolving neural selection with adaptive regularization. GECCO Companion (2021)
Thomas Helmuth, Lee Spector
Problem-solving benefits of down-sampled lexicase selection. CoRR (2021)
Lee Spector
Acknowledgement to reviewers (2020). Genet. Program. Evolvable Mach. 22 (1) (2021)
Anil Kumar Saini, Lee Spector
Evolving and Analyzing Modularity with GLEAM (Genetic Learning by Extraction and Absorption of Modules). GPTP (2021)
Anil Kumar Saini, Lee Spector
GLEAM: genetic learning by extraction and absorption of modules. GECCO Companion (2021)
Lee Spector
Editorial introduction. Genet. Program. Evolvable Mach. 22 (1) (2021)
Anil Kumar Saini, Lee Spector
Effect of Parent Selection Methods on Modularity. EuroGP (2020)
Anil Kumar Saini, Lee Spector
Why and when are loops useful in genetic programming? GECCO Companion (2020)
Lee Spector
Acknowledgment to reviewers (2019). Genet. Program. Evolvable Mach. 21 (1-2) (2020)
Lee Spector
Editorial introduction. Genet. Program. Evolvable Mach. 21 (1-2) (2020)
Thomas Helmuth, Lee Spector, Edward R. Pantridge
Counterexample-driven genetic programming without formal specifications. GECCO Companion (2020)
Thomas Helmuth, Edward R. Pantridge, Grace Woolson, Lee Spector
Transfer Learning of Genetic Programming Instruction Sets. GECCO Companion (2020)
Michael O'Neill, Lee Spector
Automatic programming: The open issue? Genet. Program. Evolvable Mach. 21 (1-2) (2020)
Thomas Helmuth, Lee Spector
Explaining and Exploiting the Advantages of Down-sampled Lexicase Selection. ALIFE (2020)
Thomas Helmuth, Edward R. Pantridge, Lee Spector
On the importance of specialists for lexicase selection. Genet. Program. Evolvable Mach. 21 (3) (2020)
Lee Spector
Push. GECCO Companion (2020)
Thomas Helmuth, Edward R. Pantridge, Grace Woolson, Lee Spector
Genetic Source Sensitivity and Transfer Learning in Genetic Programming. ALIFE (2020)
Edward R. Pantridge, Lee Spector
Code Building Genetic Programming. CoRR (2020)
Edward R. Pantridge, Lee Spector
Code building genetic programming. GECCO (2020)
Sneha Aenugu, Lee Spector
Lexicase selection in learning classifier systems. GECCO (2019)
William G. La Cava, Lee Spector, Kourosh Danai
Epsilon-Lexicase Selection for Regression. CoRR (2019)
William G. La Cava, Thomas Helmuth, Lee Spector, Jason H. Moore
A Probabilistic and Multi-Objective Analysis of Lexicase Selection and ε-Lexicase Selection. Evol. Comput. 27 (3) (2019)
Edward R. Pantridge, Thomas Helmuth, Lee Spector
Comparison of Linear Genome Representations for Software Synthesis. GPTP (2019)
Anil Kumar Saini, Lee Spector
Modularity metrics for genetic programming. GECCO (Companion) (2019)
Thomas Helmuth, Edward R. Pantridge, Lee Spector
Lexicase Selection of Specialists. CoRR (2019)
Thomas Helmuth, Edward R. Pantridge, Lee Spector
Lexicase selection of specialists. GECCO (2019)
Lee Spector
Acknowledgment to reviewers. Genet. Program. Evolvable Mach. 20 (1) (2019)
William G. La Cava, Sara Silva, Kourosh Danai, Lee Spector, Leonardo Vanneschi, Jason H. Moore
Multidimensional genetic programming for multiclass classification. Swarm Evol. Comput. 44 (2019)
Sneha Aenugu, Lee Spector
Lexicase selection in Learning Classifier Systems. CoRR (2019)
Lee Spector, Nicholas Freitag McPhee, David M. Clark, Ian Lindsay, Bradford Barr, Jon Klein
Push: genetic programming for finite algebras. GECCO (Companion) (2019)
Lee Spector
Editorial introduction. Genet. Program. Evolvable Mach. 20 (1) (2019)
Anil Kumar Saini, Lee Spector
Using Modularity Metrics as Design Features to Guide Evolution in Genetic Programming. GPTP (2019)
Blossom Metevier, Anil Kumar Saini, Lee Spector
Lexicase Selection Beyond Genetic Programming. GPTP (2018)
Tony McCaffrey, Lee Spector
An approach to human-machine collaboration in innovation. Artif. Intell. Eng. Des. Anal. Manuf. 32 (1) (2018)
William G. La Cava, Sara Silva, Kourosh Danai, Lee Spector, Leonardo Vanneschi, Jason H. Moore
A multidimensional genetic programming approach for identifying epsistatic gene interactions. GECCO (Companion) (2018)
Edward R. Pantridge, Lee Spector
Plushi: an embeddable, language agnostic, push interpreter. GECCO (Companion) (2018)
Thomas Helmuth, Nicholas Freitag McPhee, Lee Spector
Program synthesis using uniform mutation by addition and deletion. GECCO (2018)
Lee Spector
Acknowledgment to reviewers. Genet. Program. Evolvable Mach. 19 (1-2) (2018)
Lee Spector
Editorial introduction. Genet. Program. Evolvable Mach. 19 (1-2) (2018)
Lee Spector, Nicholas Freitag McPhee
Expressive genetic programming: concepts and applications. GECCO (Companion) (2018)
David M. Clark, Lee Spector
Evolution of algebraic terms 3: Term continuity and beam algorithms. Int. J. Algebra Comput. 28 (5) (2018)
Edward R. Pantridge, Thomas Helmuth, Nicholas Freitag McPhee, Lee Spector
Specialization and elitism in lexicase and tournament selection. GECCO (Companion) (2018)
Nicholas Freitag McPhee, Thomas Helmuth, Lee Spector
Using algorithm configuration tools to optimize genetic programming parameters: a case study. GECCO (Companion) (2017)
Lee Spector
Editorial introduction. Genet. Program. Evolvable Mach. 18 (1) (2017)
Lee Spector, William G. La Cava, Saul Shanabrook, Thomas Helmuth, Edward R. Pantridge
Relaxations of Lexicase Parent Selection. GPTP (2017)
William G. La Cava, Sara Silva, Leonardo Vanneschi, Lee Spector, Jason H. Moore
Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification. EvoApplications (1) (2017)
Lee Spector, Nicholas Freitag McPhee
Expressive genetic programming: concepts and applications. GECCO (Companion) (2017)
Thomas Helmuth, Nicholas Freitag McPhee, Edward R. Pantridge, Lee Spector
Improving generalization of evolved programs through automatic simplification. GECCO (2017)
William G. La Cava, Thomas Helmuth, Lee Spector, Jason H. Moore
$ε$-Lexicase selection: a probabilistic and multi-objective analysis of lexicase selection in continuous domains. CoRR (2017)
Nicholas Freitag McPhee, Maggie M. Casale, Mitchell Finzel, Thomas Helmuth, Lee Spector
Visualizing genetic programming ancestries using graph databases. GECCO (Companion) (2017)
Edward R. Pantridge, Thomas Helmuth, Nicholas Freitag McPhee, Lee Spector
On the difficulty of benchmarking inductive program synthesis methods. GECCO (Companion) (2017)
Lee Spector
Acknowledgment to Reviewers. Genet. Program. Evolvable Mach. 18 (1) (2017)
Lee Spector, Eva Moscovici
Recent developments in autoconstructive evolution. GECCO (Companion) (2017)
Edward R. Pantridge, Lee Spector
PyshGP: PushGP in Python. GECCO (Companion) (2017)
Lee Spector
Introduction to the peer commentary special section on "On the Mapping of Genotype to Phenotype in Evolutionary Algorithms" by Peter A. Whigham, Grant Dick, and James Maclaurin. Genet. Program. Evolvable Mach. 18 (3) (2017)
Lee Spector, Nicholas Freitag McPhee
Expressive Genetic Programming: Concepts and Applications. GECCO (Companion) (2016)
Thomas Helmuth, Lee Spector, Nicholas Freitag McPhee, Saul Shanabrook
Linear Genomes for Structured Programs. GPTP (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lee Spector