DP-GIBO is a differentially private local Bayesian optimization algorithm that converges to locally optimal hyperparameters with polynomial (rather than exponential) dependence on dimension under suitable conditions.
Private selection from private candidates
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Differentially Private Hyperparameter Tuning using Local Bayesian Optimization
DP-GIBO is a differentially private local Bayesian optimization algorithm that converges to locally optimal hyperparameters with polynomial (rather than exponential) dependence on dimension under suitable conditions.