Previous Talks

Recordings of previous talks are hosted at


Date Speaker Title Resources
Jan 20 Mathurin Massias Coordinate Descent for SLOPE paper, presentation, slides


Date Speaker Title Resources
Mar 5 Nghia Tran Sharp, strong, and unique minimizers for low complexity robust recovery paper, presentation
Feb 25 Wojciech Rejchel Selection Consistency for High-Dimensional Categorical Data paper, presentation
Feb 11 Magali Champion l1-spectral Clustering Algorithm presentation, report


Date Speaker Title Resources
Oct 15 Olof Zetterqvist Entropy Weighted Regularisation: A General Way to Debias Regularisation Penalties presentation, slides, thesis
July 9 Zhiqi Bu Characterizing the SLOPE Trade-Off: A Variational perspective and the Donoho--Tanner Limit paper
June 18 Patrick Tardivel Geometry of Model Pattern Recovery by Penalized and Thresholded Estimators presentation, slides, paper
May 28 Hanwen Huang LASSO risk and phase transition under dependence presentation, paper
May 21 Jonas Wallin Nowcasting Covid-19 statistics reported with delay: a case-study of Sweden and UK presentation, slides, paper
May 7 Lukasz Rajkowski On the Maximum a Posteriori partition in nonparametric Bayesian mixture models presentation, slides, paper
April 24 Pragya Sur A precise high-dimensional asymptotic theory for AdaBoost presentation, paper
April 16 Daniek Yekutieli Optimal Inference in Large-Scale Problems presentation, slides, paper
April 9 Laura Freijeiro Gonzalez Analysis of LASSO and its derivatives for variable selection under dependence among covariates presentation, paper
Feb 12 Zakhar Kabluchko Conic intrinsic volumes and phase transitions for high-dimensional polytopes presentation, paper
Jan 29 Michael Weylandt Convex Clustering: Methods, Theory, Algorithms, and Visualizations presentation


Date Speaker Title Resources
Dec 10 Waheed U. Bajwa Extended Sure Independence Screening for Big Data Analytics presentation, paper
Dec 10 Quentin Bertrand Support Recovery and Sup-Norm Convergence Rates for Sparse Pivotal Estimation presentation, slides, paper
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