# Previous Talks

## 2020

Date Speaker Title Resources
Nov 12 Pierre Bellec Degrees-of-freedom, asymptotic normality and risk estimation for high-dimensional regularized estimators presentation, slides, paper
Nov 12 Samuel Vaiter Hyper-Parameter Selection by Algorithmic Differentiation presentation, slides, paper
Oct 15 Tomasz Skalski Maximum likelihood estimation for discrete exponential families and random graphs presentation, slides, paper
July 10 Patrick Tardivel The Geometry of Uniqueness and Model Selection of Penalized Estimators including SLOPE, LASSO and Basis Pursuit presentation, paper
July 10 Ahmad Mousavi Solution Uniqueness of Convex Piecewise Affine Functions Based Optimization with Applications to Constrained $\ell_1$ Minimization presentation, paper
July 3 Patrick Tardivel On the sign recovery by LASSO, thresholded LASSO and thresholded Basis Pursuit Denoising presentation, slides, paper
July 3 Aude Sportisse Robust Lasso-Zero for sparse corruption and model section with missing covariates presentation, slides, paper
June 26 Lukasz Smaga Permutation tests for coefficients of variation in general one-way ANOVA models presentation, slides
June 12 Aaron Molstad Insights and algorithms for the multivariate square-root lasso slides, paper
June 5 Damian Brzyski The adaptive incorporation of multiple sources of information in Brain Imaging via penalized optimization presentation, slides
May 29 Wojchiech Rejchel Fast and robust procedures in high-dimensional variable selection presentation, slides, paper
May 22 Jaroslaw Harezlak Brain Connectivity-Informed Adaptive Regularization for Generalized Outcomes presentation, slides
May 22 Jaroslaw Harezlak Wearable Devices - Statistical Learning to the Rescue presentation, slides
May 8 Johan Larsson The strong screening rule for SLOPE presentation, slides, paper
May 8 Patrick Tardivel Screening rules for the lasso presentation