Lecture Notes: Selected topics on robust statistical learning theory

28 August 2019

Papers citing "Lecture Notes: Selected topics on robust statistical learning theory"

23 / 23 papers shown

Title
A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates Zhixian Lei K. Luh Prayaag Venkat Fred Zhang 91 35 0 13 Aug 2019
Robust multivariate mean estimation: the optimality of trimmed mean Gabor Lugosi S. Mendelson 49 125 0 26 Jul 2019
Mean estimation and regression under heavy-tailed distributions--a survey Gabor Lugosi S. Mendelson 93 242 0 10 Jun 2019
Fast Mean Estimation with Sub-Gaussian Rates Yeshwanth Cherapanamjeri Nicolas Flammarion Peter L. Bartlett 55 78 0 06 Feb 2019
High-Dimensional Robust Mean Estimation in Nearly-Linear Time Yu Cheng Ilias Diakonikolas Rong Ge 59 124 0 23 Nov 2018
Robust classification via MOM minimization Guillaume Lecué M. Lerasle Timlothée Mathieu 88 49 0 09 Aug 2018
Robust Estimation via Robust Gradient Estimation Adarsh Prasad A. Suggala Sivaraman Balakrishnan Pradeep Ravikumar 60 221 0 19 Feb 2018
Dimension-free PAC-Bayesian bounds for matrices, vectors, and linear least squares regression O. Catoni Ilaria Giulini 39 66 0 07 Dec 2017
Robust machine learning by median-of-means : theory and practice Guillaume Lecué M. Lerasle OOD 166 156 0 28 Nov 2017
Distributed Statistical Estimation and Rates of Convergence in Normal Approximation Stanislav Minsker Nate Strawn 45 65 0 09 Apr 2017
Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions Pierre Alquier V. Cottet Guillaume Lecué 217 60 0 05 Feb 2017
Sub-Gaussian estimators of the mean of a random vector Gábor Lugosi S. Mendelson 123 172 0 01 Feb 2017
Regularization, sparse recovery, and median-of-means tournaments Gábor Lugosi S. Mendelson 62 47 0 15 Jan 2017
Learning from MOM's principles: Le Cam's approach Lecué Guillaume Lerasle Matthieu 74 52 0 08 Jan 2017
Risk minimization by median-of-means tournaments Gabor Lugosi S. Mendelson 101 132 0 02 Aug 2016
Rho-estimators revisited: General theory and applications Y. Baraud Lucien Birgé Jad 55 2 0 17 May 2016
On optimality of empirical risk minimization in linear aggregation Adrien Saumard 55 21 0 11 May 2016
Sub-Gaussian mean estimators Luc Devroye M. Lerasle Gabor Lugosi R. Oliveira 147 187 0 19 Sep 2015
Robust Covariance and Scatter Matrix Estimation under Huber's Contamination Model Mengjie Chen Chao Gao Zhao Ren 67 166 0 01 Jun 2015
Learning without Concentration S. Mendelson 216 333 0 01 Jan 2014
Geometric median and robust estimation in Banach spaces Stanislav Minsker 165 311 0 06 Aug 2013
Faster and Simpler Width-Independent Parallel Algorithms for Positive Semidefinite Programming Richard Peng Kanat Tangwongsan Peng Zhang 103 44 0 24 Jan 2012
Challenging the empirical mean and empirical variance: a deviation study O. Catoni 161 462 0 10 Sep 2010