Learning a strategy for adapting a program analysis via Bayesian optimisation
<br xmlns:etd="http://www.ouls.ox.ac.uk/ora/modsextensions">Building a cost-effective static analyser for real-world programs is still regarded an art. One key contributor to this grim reputation is the difficulty in balancing the cost and the precision of an analyser. An ideal analy...
Principais autores: | Oh, H, Yang, H, Yi, K |
---|---|
Formato: | Conference item |
Publicado em: |
Association for Computing Machinery
2015
|
Registros relacionados
-
Adversarial attacks on graph classification via Bayesian optimisation
por: Wan, X, et al.
Publicado em: (2021) -
Robust reinforcement learning with Bayesian optimisation and quadrature
por: Paul, S, et al.
Publicado em: (2020) -
Bayesian optimisation for automated machine learning
por: Ru, B
Publicado em: (2022) -
Bayesian optimisation of functions on graphs
por: Wan, X, et al.
Publicado em: (2024) -
Reinforcement learning-trained optimisers and Bayesian optimisation for online particle accelerator tuning
por: Jan Kaiser, et al.
Publicado em: (2024-07-01)