Scientific Committee 2023 

 

  • Emmanuel Candès (Stanford University) 
  • Christophe Giraud (Paris Saclay University) 
  • Estelle Kuhn (Paris Saclay University) 
  • Enno Mammen (Heidelberg University) 
  • Pascal Massart (Paris Saclay University) 
  • Sara Van De Geer (ETH Zürich) 
  • Aad Van Der Vaart (Leiden University) 
  • Jean-Philippe Vert (Owkin)

 

Gest lecturers

Gareth O. Roberts
Gareth O. Roberts
Topics in Retrospective Simulation
Marco Cuturi
Marco Cuturi
Optimal Transport: From Theory to Tweaks, Computations and Applications in Machine Learning
Richard Nickl
Richard Nickl
Bayesian non-linear statistical inverse problems
Rebecca Willett
Rebecca Willett
Regularization Induced by Neural Network Architectures
Peter Bühlmann
Peter Bühlmann
Causality
Matthieu Lerasle
Matthieu Lerasle
Robust statistics
Andrea Montanari
Andrea Montanari
Statistics with matrices, graphs, and tensors
Francis Bach
Francis Bach
Large-scale machine learning and convex optimization
Emmanuel Candes
Emmanuel Candes
Topics in Selective Inference
Ery Arias-Castro
Ery Arias-Castro
Elements of Network Analysis
Stéphane Mallat
Stéphane Mallat
High Dimensional Classification with Deep Scattering Networks
Lucien Birgé
Lucien Birgé
Looking for robust, optimal and adaptive estimators
Arnaud Doucet
Arnaud Doucet
Interacting Praticle Methods for Inference in State-Space Models and Beyond
Martin Wainwright
Martin Wainwright
An Introduction to High-dimensional statis- tics
Michael Jordan
Michael Jordan
Bayesian nonparametrics
Jon Wellner
Jon Wellner
Nonparametric estimation under Shape Restrictions
Andrew Barron
Andrew Barron
Statistical information theory
Terry Speed
Terry Speed
Microarray gene expression data analysis / SNP, copy number and resequencing chip data analysis / ChIP-chip, methylation and other tiling array data analyses / Statistical issues with next-generation sequencing
Subhashis Ghosal
Subhashis Ghosal
Bayesian Inference in nonparametric models
jean-Philippe Vert
jean-Philippe Vert
Kernel methods for computational biology and chemistry
Yoav Benjamini
Yoav Benjamini
Multiplicity issues in biostatistics and genetic research
The Ohio State University
Noel Cressie
Spatial Statistics
https://de.linkedin.com/in/alexander-zien-23369794
Alexander Zien
Kernel methods for bioin-formatics
Christian Robert
Christian Robert
Markov Chain Monte Carlo methods: perfect sampling, convergence speeds, and variable dimension models
Peter Bartlett
Peter Bartlett
Computational learning theory
Peter Donnelly
Peter Donnelly
Mathematical Genetics Group
Jean Michel Poggi
Jean Michel Poggi
Mathematical Genetics Group
Gabor Lugosi
Gabor Lugosi
Statistical Learning

Invited lectures