Preliminary program
The conference will start on Wednesday, March 21, at 9:30, and end on Friday, March 23, at 16:30.
Download the program here

Wednesday, March 21

9h00-9h30 Welcome of participants   
9h30-9h45 Welcome Speech   
9h45-10h45 Guillaume Obozinski A unified perspective on convex structured sparsity for vectors 
10h45-11h00 Coffee break   
11h00-11h30 Joseph Mure  Gibbs Reference Posterior for Robust Gaussian Process Emulation (abstract)
11h30-12h00 Sophie Marque-Pucheu Surrogate modeling of two nested codes with a functional intermediary variable (abstract)
12h00-12h30 Mélina Ribaud Robustness criterion for kriging based optimization (abstract)
12h30-14h00 Lunch  
14h00-14h30 Malek Ben Salem  Split, doubt and design in high dimension with general surrogates (abstract)
14h30-15h00 Erwan Grelier Statistical learning in tree-based tensor format (abstract) Slides
15h00-15h30 Poster Blitz 1  

Lucie Bernard

Estimating a Probability of Failure with Adaptive Multilevel Splitting (abstract) Poster
  Soumaya Azzi

Stochastic metamodeling applied to dosimetry (abstract) Poster

  Baptiste Broto Efficient estimation of the Shapley sensitivity indices for the linear Gaussian model with independent groups of variables (abstract)
  Mathieu Carmassi Bayesian calibration for computational codes (abstract)
  Vincent Chabridon Reliability-based sensitivity analysis under distribution parameter uncertainty – Application to aerospace systems (abstract) Poster
  Anouar Meynaoui Statistical methodology for second level sensitivity analysis for numerical simulators (abstract)
  Mohamed Reda El Amri Stochastic Inversion Under Functional Uncertainties (abstract)
  Kévin Elie-dit-Cosaque Shapley effects for sensitivity analysis with dependent inputs (abstract)
  Edouard Fournier Influence of Dimension Reduction on regression trees-based Algorithms - Predicting Aeronautics Loads of a Derivative Aircraft (abstract)

David Gaudrie

Targeting Well-Balanced Solutions in Bayesian Multi-Objective Optimization under a Restricted Budget (abstract)

  Grégory Delipei

Shapley indices estimation in multi-physics nuclear transient modeling (abstract) Poster

15h30-16h00 Coffee break   
16h00-16h30 Nazih Benoumechiara Quantile Estimation in Structural Reliability with Incomplete Dependence Structure (abstract) Slides
16h30-17h00 Antoine Usseglio-Carleve Quantile prediction of a random field extending the gaussian setting (abstract) Slides
17h00-17h30 Poster blitz 2  
   Alexandre Goupy Polynomial chaos expansion for acoustic propagation (abstract)
   David Lebel Bayesian calibration using Gaussian surrogate model of the likelihood function: application to train suspensions monitoring (abstract) Poster

 Andres Felipe Lồpez-Lopera

Gaussian process regression models under linear inequality conditions (abstract)
   Mickael Rivier Low-cost optimization under uncertainty through box representation of robustness measures (abstract) Poster
   François Sanson Uncertainty quantification in large systems of solvers: application to reentering man-made space object trajectory prediction (abstract)
   Aldo Serafino Assessment of Uncertainty Quantification Methods with Application to the Design of Organic Rankine Cycles (abstract) Poster
   Adrien Spagnol

Global sensitivity analysis for optimization with variable selection (abstract)

   Uladzislau Stazhynski Uncertainty Quantification for Stochastic Approximation Limits Using Chaos Expansion (abstract) Poster
   Léonard Torossian A review on quantile regression for stochastic computer experiments (abstract)
   Xujia Zhu

Surrogating the response PDF of stochastic simulators using semi-parametric representations (abstract)

  Thomas Galtier

The interacting particle system estimation method with piecewise deterministic Markovian processes (abstract) Poster

17h30-18h30 Poster session   
18h30-19h30 Cocktail   


Thursday, March 22

9h00-10h30 Julien Mairal Course: Foundations of Deep Learning from a Kernel Point of View 
10h30-11h00 Coffee break   
11h00-11h45 Gabriel Peyré Computational Optimal Transport for Imaging and Learning 
11h45-12h30 Nelly Pustelnik  Combining multiresolution analysis and non-smooth optimization for texture segmentation 
12h30-14h00 Lunch   
14h00-14h45      Claire Boyer On the gap between local recovery guarantees in structured compressed sensing and oracle estimates 
14h45-15h30 Karim Lounici Principal Component Analysis: a Berry-Esseen Bound for the Spectral Projectors of the Covariance Operator (abstract)
15h30-16h15 Julie Josse Distributed Multi-Level Matrix Completion for Medical Databases 
16h15-16h45 Coffee break   
16h45-17h30 Anne Ruiz-Gazen Using Invariant Coordinate Selection for outlier detection in high dimension
17h30-18h15 Guillaume Perrin Kernel representations for the approximation of the distribution of high-dimensional random vectors 
20h00 Conference dinner  Bar restaurant du Lieu Unique, 2 rue de la bisuiterie, Quai Ferdinand Favre, Nantes


Friday, March 23

9h00-10h30 Julien Mairal Course: Optimization methods for large-scale machine learning and sparse estimation 
10h30-11h00 Coffee break   
11h00-11h45 Gérard Biau Optimization by Gradient Boosting (joint work with B. Cadre) 
11h45-12h30 Victor Picheny Combining game theory and Bayesian optimization to solve many-objective problems 
12h30-14h00 Lunch   
14h00-14h15 Rodolphe Le Riche
The OQUAIDO research chair in a nutshell 
14h15-15h00 Albert Cohen Optimal sampling in weighted least-squares methods. Application to high-dimensional approximation  
15h00-15h45 Yohann De Castro Un programme SDP pour résoudre le problème des plans d’expériences optimaux 
15h45-16h15 Hervé Monod GDR Mascot-Num Slides
16h15-16h30 Closing remarks  



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