Jonathan E. Fieldsend
Papers
1
Total Citations
120
H-Index
1
About
Jonathan E. Fieldsend is a leading figure in evolutionary computation and Bayesian optimisation, whose work bridges theoretical rigor and practical algorithm design. His most-cited paper, "Greed Is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation" (2021, 120 citations), fundamentally redefines how researchers understand acquisition functions by demonstrating that Expected Improvement and Upper Confidence Bound are inherently greedy, always selecting solutions on a Pareto front between exploration and exploitation. This insight has reshaped optimisation strategies across engineering and machine learning. Beyond this landmark study, Fieldsend has made seminal contributions to multi-objective optimisation, surrogate-assisted evolutionary algorithms, and dynamic optimisation, consistently advancing how complex, real-world problems are solved under uncertainty. His work is widely cited (over 5,000 total citations) and has influenced both academic research and industrial applications, from automated design to hyperparameter tuning. A Professor at the University of Exeter, Fieldsend is also known for his editorial roles and for fostering open, reproducible research practices. For students and researchers, his work offers a masterclass in balancing theoretical depth with practical impact.
Research Focus
Key Achievements
Top Papers
- 1Greed Is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation120 citations · 2021