Documents publiés en "2023"

A

Audet, C., Bigeon, J., Couderc, R., & Kokkolaras, M. (2023). Sequential stochastic blackbox optimization with zeroth-order gradient estimators. AIMS Mathematics, 8(11), 25922-25956. Disponible

Audet, C., Bigeon, J., Couderc, R., & Kokkolaras, M. (2023). Sequential stochastic blackbox optimization with zeroth order gradient estimator. (Rapport technique n° G-2023-16). Lien externe

Audet, C., Bigeon, J., Couderc, R., & Kokkolaras, M. (2023). Risk averse constrained blackbox optimization under mixed aleatory/epistemic uncertainties. (Rapport technique n° G-2023-46). Lien externe

B

Bigeon, J., Orban, D., & Raynaud, P. (2023). A framework around limited-memory partitioned quasi-Newton methods. (Rapport technique n° G-2023-17). Lien externe

R

Raynaud, P., Orban, D., & Bigeon, J. (2023). PLSR1 : a limited-memory partioned quasi-Newton optimizer for partially-separable loss functions. (Rapport technique n° G-2023-41). Lien externe