1 citations · 1 across the 4 of their papers we have counts for
5 papers
A Bayesian approach for prompt optimization in pre-trained language models
Antonio Sabbatella, Andrea Ponti, Antonio Candelieri +2
A prompt is a sequence of symbol or tokens, selected from a vocabulary according to some rule, which is prepended/concatenated to a textual query. A key problem is how to select th…
Resilience in urban networked infrastructure: the case of Water Distribution Systems
Antonio Candelieri, Ilaria Giordani, Andrea Ponti +1
Resilience is meant as the capability of a networked infrastructure to provide its service even if some components fail: in this paper we focus on how resilience depends both on ne…
Modelling Human Active Search in Optimizing Black-box Functions
Antonio Candelieri, Riccardo Perego, Ilaria Giordani +2
Modelling human function learning has been the subject of in-tense research in cognitive sciences. The topic is relevant in black-box optimization where information about the objec…
Learning Optimal Control of Water Distribution Networks through Sequential Model-based Optimization
Antonio Candelieri, Bruno Galuzzi, Ilaria Giordani +1
Sequential Model-based Bayesian Optimization has been successful-ly applied to several application domains, characterized by complex search spaces, such as Automated Machine Learni…
Composition of kernel and acquisition functions for High Dimensional Bayesian Optimization
Antonio Candelieri, Ilaria Giordani, Riccardo Perego +1
Bayesian Optimization has become the reference method for the global optimization of black box, expensive and possibly noisy functions. Bayesian Op-timization learns a probabilisti…