Previous Talks

Recordings of previous talks are hosted at https://www.youtube.com/channel/UCfRCi0V-3mvax-nWSadgMBQ.

2023

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

2022

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

2021

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

2020

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