George De Ath
Papers
1
Total Citations
120
H-Index
1
About
George De Ath is a leading researcher in Bayesian optimisation, with a primary focus on the critical exploration–exploitation trade-off that underpins efficient global optimisation. His most influential work, "Greed Is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation" (2021, 120 citations), fundamentally recharacterises how acquisition functions like Expected Improvement (EI) and Upper Confidence Bound (UCB) navigate continuous search spaces. By framing their performance through the lens of Pareto optimality between exploration and exploitation, De Ath demonstrated that even seemingly "greedy" strategies can achieve state-of-the-art results when properly understood and tuned. This insight has reshaped practical guidance for algorithm selection in black-box optimisation, impacting fields from hyperparameter tuning to experimental design. His contributions provide both theoretical clarity and actionable heuristics for researchers and practitioners alike, making him a key voice in modern Bayesian optimisation methodology.
Research Focus
Key Achievements
Top Papers
- 1Greed Is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation120 citations · 2021