Co-occurring keywords · papers mentioning both
Papers
Improving the Expected Improvement Algorithm
NeurIPS 2017
Lookahead Bayesian Optimization with Inequality Constraints
NeurIPS 2017
Regret for Expected Improvement over the Best-Observed Value and Stopping Condition
ACML 2017
Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian
NeurIPS 2016
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints
ICML 2015
Expensive Function Optimization with Stochastic Binary Outcomes
ICML 2013
Algorithms for Hyper-Parameter Optimization
NeurIPS 2011
Convergence Rates of Efficient Global Optimization Algorithms
JMLR 2011
Active Preference Learning with Discrete Choice Data
NeurIPS 2007