Convex optimization, 2004. ,
Polynomial chaos expansion for sensitivity analysis, vol.94, pp.1161-1172, 2009. ,
DOI : 10.1016/j.ress.2008.10.008
Two faces of active learning, Theoretical computer science, vol.412, issue.19, pp.1767-1781, 2011. ,
DOI : 10.1016/j.tcs.2010.12.054
URL : https://doi.org/10.1016/j.tcs.2010.12.054
The jackknife estimate of variance. The Annals of Statistics, pp.586-596, 1981. ,
CVXR: Disciplined Convex Optimization, pp.99-105, 2019. ,
Rates of convergence in active learning, The Annals of Statistics, vol.39, issue.1, pp.333-361, 2011. ,
sensitivity: Global Sensitivity Analysis of Model Outputs, 2019. ,
Global optimization of lipschitz functions, Proceedings of the 34th International Conference on Machine Learning, vol.70, pp.2314-2323, 2017. ,
Sensitivity estimates for nonlinear mathematical models, Math. Modeling Comput. Experiment, vol.1, issue.4, pp.407-414, 1993. ,
Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates, Mathematics and Computers in Simulation, vol.55, issue.1-3, pp.271-280, 2001. ,