Pretrained neural policies replace repeated GP inference and constrained optimization in safe active learning with a single forward pass, yielding large speedups while preserving query quality.
wd = 20 , D = 2 ) and Q = ID, then the central safe area is a ball and it takes about half of the space, i.e
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies From Simulated Nonparametric Functions
Pretrained neural policies replace repeated GP inference and constrained optimization in safe active learning with a single forward pass, yielding large speedups while preserving query quality.