- author = "Kei Sen Fong and Mehul Motani",
- title = "Generalization Analysis of Symbolic Regression Algorithms via Stability Theory",
- booktitle = "Proceedings of the 2026 Genetic and Evolutionary Computation Conference",
- year = "2026",
- editor = "Nelishia Pillay and Gabriel Kronberger and Leonardo Trujillo and Ting Hu and Sebastian {Rojas Gonzalez} and Saul {Calderon Ramirez} and Stephan Winkler and Yazmin Maldonado and James McDermott and Jose Manuel {Munoz Contreras} and Giorgia Nadizar and Marcella {Scoczynski Ribeiro Martins} and Hirad Assimi and Mario Andres Munoz and Oliver Cuate and Daniel Hernandez and Yanan Sun and Edgar Galvan and Aniko Ekart and Nadarajen Veerapen",
- pages = "753--761",
- address = "San Jose, Costa Rica",
- series = "GECCO '26",
- month = "13-17 " # jul,
- organisation = "SIGEVO",
- publisher = "Association for Computing Machinery",
- publisher_address = "New York, NY, USA",
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "9798400724879",
-
DOI = "
10.1145/3795095.3805123",
-
notes = "Best Paper Nomination
GECCO-2026 A Recombination of the 35th International Conference on Genetic Algorithms (ICGA) and the 31st Annual Genetic Programming Conference (GP)",
