XI – September 5-9, 2022 

Optimal Transport, Statistics Machine Learning and moving in between

X – March 19-22, 2019
Understanding Deep Learning: Generalization, Approximation and Optimization

IX – March 7-9, 2018

Scalable Statistics: on Accuracy and Computational Complexity

VIII – January 23-25, 2017
Uncertainty Quantification

VII – March 26-27-28, 2014
Stochastic Optimization and Online Learning

VI – January 28-29,2013
Statistics for Complex and High Dimensional Systems

V – October 10-11-12, 2011
Adaptation in Nonparametric Statistics

IV – November 8-9-10, 2010

Bayesian Nonparametric Statistics

III – October 5-6-7, 2009

Paradigms of Model Choice

II – October 6-7-8, 2008
High dimensional statistics

I – October 8-9-10, 2007
Shape Restricted Inference