Christian Raymond
PhD Student
School of Engineering and Computer Science
Thesis Info
Research Interests: Meta-Learning, Few-Shot Learning, Hyper-Parameter Optimization
Thesis Title: Learning Loss Functions via Meta-Learning
Supervisor: Dr. Qi Chen, Prof. Bing Xue
Thesis Title: Learning Loss Functions via Meta-Learning
Supervisor: Dr. Qi Chen, Prof. Bing Xue
Publications
- Raymond, C ., Chen, Q., Xue, B., and Zhang, M. (2023). Online Loss Function Learning. arXiv preprint arXiv:2301.13247 .
- Raymond, C ., Chen, Q., Xue, B., and Zhang, M. (2022). Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. arXiv preprint arXiv:2209.08907 .
- Raymond, C., Chen, Q., Xue, B., and Zhang, M. "Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning". In the Proceedings of the 2023 Genetic and Evolutionary Computation Conference (GECCO 2023). Lisbon, Portugal. pp. 1003–1011.
- Raymond, C ., Chen, Q., Xue, B., and Zhang, M. Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression. In Genetic Programming: 25th European Conference, (EuroGP 2022), pp. 51-67.
- Raymond, C., Chen, Q., Xue, B., and Zhang, M. "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.
- Raymond, C., Chen, Q., Xue, B., and Zhang, M. "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.