Speaker — Claire Boyer (Sorbonne Université) Abstract — This work investigates the problem of signal recovery from undersampled noisy sub-Gaussian measurements under the assumption of a synthesis-based sparsity model. Solving the l1-synthesis basis pursuit allows to simultaneously estimate a coefficient representation as well as the sought-for signal. However, due to linear dependencies within redundant dictionary […]
The twenty-fifth UQSay seminar on UQ, DACE and related topics, organized by L2S, MSSMAT, LMT and EDF R&D, will take place online on Thursday afternoon, March 4, 2021. 2–3 PM — Victor Picheny (Secondmind) Bayesian optimisation: ablation study, global performance assessment and improvements based on trust regions Bayesian Optimisation algorithms (BO) are global optimisation methods […]
Tuesday 2nd March at 11:00 via Microsoft Teams meetingClick here to join the meetingLearn More | Meeting options Speaker: Abdel Lisser, Professor at Paris-Saclay University Title: Chance constrained optimization: an overview Abstract: Chance constrained optimization, also called probabilistic constrained optimization, is one of the main topics in stochastic optimization for dealing with random parameters in optimization problems. A chance […]
The twenty-fourth UQSay seminar on UQ, DACE and related topics, organized by L2S, MSSMAT, LMT and EDF R&D, will take place online on Thursday afternoon, February 18, 2021. 2–3 PM — Amandine Marrel (CEA & IMT) ICSCREAM methodology for the Identification of penalizing Configurations using SCREening And Metamodel — Application to high-dimensional thermal-hydraulic numerical experiments […]
16/02/2021 – 14h00-15h00 – Online A mathematical model for nonsmooth algorithmic differentiation with applications to machine learning. Edouard Pauwels (Université Paul Sabatier, Toulouse) Abstract. We are interested in nonsmooth analysis of algorithmic differentiation, a central building block of the learning phase implemented in modern deep learning software librairies, such as Tensorflow or Pytorch. First, I […]
