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Statistical Learning Seminar @UCfRCi0V-3mvax-nWSadgMBQ@youtube.com

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42:10
Mathurin Massias: Coordinate Descent for SLOPE
49:38
Nghia Tran: Sharp, strong, and unique minimizers for low complexity robust recovery
51:07
Wojciech Rejchel: Selection Consistency for High-Dimensional Categorical Data
45:53
Magali Champion: l1-spectral clustering: a spectral clustering method using l1-regularization
22:22
Ziyan Luo: Solving OSCAR and SLOPE Models Using Semismooth Newton-Based Augmented Lagrangian Methods
36:15
Clément Elvira: Safe Rules for the Identification of Zeros in the Solutions of the SLOPE Problem
36:12
Małgorzata Bogdan: On the statistical properties of SLOPE and adaptive SLOPE
29:28
Kentaro Minami: Degrees of freedom in submodular regularization
40:58
Olof Zetterqvist: Entropy Weighted Regularisation: A General Way to Debias Regularisation Penalties
38:04
Patrick Tardivel: Geometry of Model Pattern Recovery by Penalized and Thresholded Estimators
58:46
Hanwen Huang: LASSO risk and phase transition under dependence
54:18
Jonas Wallin: Nowcasting Covid-19 statistics reported with delay: a case-study of Sweden and UK
51:02
Lukasz Rajkowski: On the Maximum a Posteriori partition in nonparametric Bayesian mixture models
01:01:30
Pragya Sur: A precise high-dimensional asymptotic theory for AdaBoost
01:14:39
Daniel Yekutieli: Optimal Inference in Large-Scale Problems
40:54
Laura Freijeiro Gonzalez: Analysis of LASSO for variable selection under dependence among covariates
47:40
Zakhar Kabluchko: Conic intrinsic volumes and phase transitions for high-dimensional polytopes
50:42
Michael Weylandt: Convex Clustering: Methods, Theory, Algorithms, and Visualizations
58:46
Waheed U. Bajwa: Extended Sure Independence Screening for Big Data Analytics
33:18
Quentin Bertrand: Support Recovery and Sup-Norm Convergence Rates for Sparse Pivotal Estimation
33:57
Degrees-of-freedom, asymptotic normality, and risk for high-dimensional regularized estimators
51:11
Tomasz Skalski: Maximum likelihood estimation for discrete exponential families and random graphs
19:22
Patrick Tardivel: On the Sign Recovery by LASSO, Thresholded LASSO and Thresholded Basis Pursuit
21:47
Patrick Tardivel: The Geometry of Uniqueness and Model Selection of Penalized Estimators
20:08
Aude Sportisse: Robust Lasso-Zero for Sparse Corruption and Model Selection with Missing Covariates
22:19
Ahmad Mousavi: Solution Uniqueness of Convex Piecewise Affine Functions Based Optimization
42:05
Wojciech Rejchel: Fast and Robust Procedures in High-Dimensional Variable Selection
52:53
Lukasz Smaga: Permutation tests for coefficients of variation in general one-way ANOVA models
52:08
Damian Brzyski: Multiple Sources of Information in Brain Imaging via Penalized Optimization
23:54
Patrick Tardivel: Introduction on Screening Rules for LASSO
13:36
Jaroslaw Harezlak: Brain Connectivity-Informed Adaptive Regularization for Generalized Outcomes
22:42
Johan Larsson: The Strong Screening Rule for SLOPE
28:45
Jaroslaw Harezlak: Wearable Devices – Statistical Learning to the Rescue