Christian Raymond

Christian Raymond profile picture

PhD Student
School of Engineering and Computer Science

Thesis Info

Research Interests: Meta-Learning, Generalization, Regularization, Statistical Learning Theory, Genetic Programming, Evolutionary Computation
Thesis Title:
Supervisor: Dr. Qi Chen, Prof. Bing Xue



  1. C. Raymond, Q. Chen, B. Xue and M. Zhang. "Adaptive Weighted Splines: A New Representation to Genetic Programming for Symbolic Regression". In the Proceedings of the 2020 Genetic and Evolutionary Computation Conference (GECCO 2020). Cancun, Mexico. pp. 1003–1011.

  2. C. Raymond, Q. Chen, B. Xue and M. Zhang, "Genetic Programming with Rademacher Complexity for Symbolic Regression," In the Proceedings of 2019 IEEE Congress on Evolutionary Computation (CEC 2019). Wellington, New Zealand. pp. 2657-2664.