| Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving R Boldi, M Briesch, D Sobania, A Lalejini, T Helmuth, F Rothlauf, C Ofria, ... Evolutionary computation, 1-31, 2024 | 23 | 2024 |
| Lexicase selection at scale L Ding, R Boldi, T Helmuth, L Spector Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 17 | 2022 |
| A Static Analysis of Informed Down-Samples R Boldi, A Lalejini, T Helmuth, L Spector Proceedings of the Conference on Genetic and Evolutionary Computation Companion, 2023 | 6 | 2023 |
| Going faster and hence further with lexicase selection L Ding, R Boldi, T Helmuth, L Spector Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 6 | 2022 |
| The Environmental Discontinuity Hypothesis for Down-Sampled Lexicase Selection R Boldi, T Helmuth, L Spector ALIFE 2022: The 2022 Conference on Artificial Life, 2022 | 6 | 2022 |
| Can the Problem-Solving Benefits of Quality Diversity Be Obtained Without Explicit Diversity Maintenance? R Boldi, L Spector Conference on Genetic and Evolutionary Computation, 2023 | 4 | 2023 |
| The Problem Solving Benefits of Down-sampling Vary by Selection Scheme R Boldi, A Bao, M Briesch, T Helmuth, D Sobania, L Spector, A Lalejini Proceedings of the Conference on Genetic and Evolutionary Computation …, 2023 | 3 | 2023 |
| Analyzing the interaction between down-sampling and selection R Boldi, A Bao, M Briesch, T Helmuth, D Sobania, L Spector, A Lalejini arXiv preprint arXiv:2304.07089, 2023 | 3 | 2023 |
| Particularity L Spector, L Ding, R Boldi Genetic Programming Theory and Practice XX, 2023 | 2 | 2023 |
| Objectives Are All You Need: Solving Deceptive Problems Without Explicit Diversity Maintenance R Boldi, L Ding, L Spector arXiv preprint arXiv:2311.02283, 2023 | 1 | 2023 |
| Improving Recommendation System Serendipity Through Lexicase Selection R Boldi, A Lokhandwala, E Annatone, Y Schechter, A Lavrenenko, ... arXiv preprint arXiv:2305.11044, 2023 | 1 | 2023 |
| Pareto-Optimal Learning from Preferences with Hidden Context R Boldi, L Ding, L Spector, S Niekum arXiv preprint arXiv:2406.15599, 2024 | | 2024 |
Lee SpectorProfessor of Computer Science, Amherst College在 amherst.edu 的电子邮件经过验证
