36 citations · 48 across the 22 of their papers we have counts for
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cs.LG2023★ 1 cited
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…
cs.LG2023★ 3 cited
Mastering the exploration-exploitation trade-off in Bayesian Optimization
Antonio Candelieri
Gaussian Process based Bayesian Optimization is a well-known sample efficient sequential strategy for globally optimizing black-box, expensive, and multi-extremal functions. The ro…