"Inverse Problems in Data Driven Modelling"

Tue, July 20
09:00-09:30 Opening
09:30-10:20 Christine De Mol
Catching features with a lasso or an elastic net?
10:20-10:50 Coffee break
10:50-11:40 Alexander Goldenshluger
Adaptive nonparametric estimation by selection of estimators
11:40-14:00 Lunch break
14:00-14:50 Alessandro Verri
Learning, Regularization and Ill-posed Inverse Problems
14:50-15:40 Gilles Blanchard
On optimal rates for kernel conjugate gradient regularization under random design and noise
15:40-16:10 Coffee break
16:10-17:00 Milan Stehlik
Inverse Problems in Cancer Modelling
19:00 Conference dinner
Wed, July 21
09:00-09:50 Gerard Kerkyacharian
Radon needlet thresholding
09:50-10:40 Gabriele Steidl
Operator Splitting Methods in Image Processing
10:40-11:10 Coffee break
11:10-12:00 Franciszek Rakowski
Agent Based Modelling in studying the epidemic spread processes on the country-wide scale
12:00-14:00 Lunch break
14:00-14:50 Jean-Michel Loubes
Tests for inverse problems: a direct or indirect problem?
14:50-15:40 Gianluigi Pillonetto
New nonparametric approaches to linear system identification
15:40-16:10 Coffee break
16:10-17:00 Lorenzo Rosasco
Spectral Methods for Learning High Dimensional Data
Thu, July 22
09:00-09:50 Vera Kurkova
Integral transforms induced by computational units
09:50-10:40 Boaz Nadler
Semi-supervised Learning, global vs. multiscale methods and harmonic analysis
10:40-11:10 Coffee break
11:10-12:00 Guillaume Obozinski
Support union recovery in high-dimensional multivariate linear regression
12:00-14:00 Lunch break
14:00-14:50 Andreas Argyriou
Spectral Regularization in Machine Learning
14:50-15:40 Katerina Schindler
Some recent bounds on minimal singular value: a comparison
15:40-16:10 Coffee break
16:10-17:00 Sergiy Pereverzyev Jr.
Dual regularized total least squares for the prediction problem in learning theory