Learning from MOM's principles: Le Cam's approach

8 January 2017

Papers citing "Learning from MOM's principles: Le Cam's approach"

37 / 37 papers shown

Title
Robust high-dimensional Gaussian and bootstrap approximations for trimmed sample means Lucas Resende 28 1 0 29 Oct 2024
Minimax Linear Regression under the Quantile Risk Ayoub El Hanchi Chris J. Maddison Murat A. Erdogdu 20 2 0 17 Jun 2024
Robust Stochastic Optimization via Gradient Quantile Clipping Ibrahim Merad Stéphane Gaïffas 16 1 0 29 Sep 2023
Robust and non asymptotic estimation of probability weighted moments with application to extreme value analysis Anna Ben-Hamou Philippe Naveau Maud Thomas 9 0 0 19 Jun 2023
Computationally Efficient and Statistically Optimal Robust High-Dimensional Linear Regression Yinan Shen Jingyang Li Jian-Feng Cai Dong Xia 24 1 0 10 May 2023
Trimmed sample means for robust uniform mean estimation and regression R. I. Oliveira Lucas Resende 22 5 0 13 Feb 2023
Robust empirical risk minimization via Newton's method Eirini Ioannou Muni Sreenivas Pydi Po-Ling Loh 21 2 0 30 Jan 2023
On deviation probabilities in non-parametric regression Anna Ben-Hamou A. Guyader 26 1 0 25 Jan 2023
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering Debolina Paul Saptarshi Chakraborty Swagatam Das Jason Xu 12 16 0 27 Oct 2021
DeepMoM: Robust Deep Learning With Median-of-Means Shih-Ting Huang Johannes Lederer FedML 19 6 0 28 May 2021
Robust Principal Component Analysis: A Median of Means Approach Debolina Paul Saptarshi Chakraborty Swagatam Das 16 8 0 05 Feb 2021
Optimal robust mean and location estimation via convex programs with respect to any pseudo-norms Jules Depersin Guillaume Lecué 15 12 0 01 Feb 2021
A spectral algorithm for robust regression with subgaussian rates Jules Depersin 19 14 0 12 Jul 2020
Robust Kernel Density Estimation with Median-of-Means principle Pierre Humbert B. L. Bars Ludovic Minvielle Nicolas Vayatis 6 10 0 30 Jun 2020
Universal Robust Regression via Maximum Mean Discrepancy Pierre Alquier Mathieu Gerber 38 15 0 01 Jun 2020
Robust subgaussian estimation with VC-dimension Jules Depersin 25 12 0 24 Apr 2020
K-bMOM: a robust Lloyd-type clustering algorithm based on bootstrap Median-of-Means Camille Brunet Edouard Genetay Adrien Saumard 9 11 0 10 Feb 2020
All-In-One Robust Estimator of the Gaussian Mean A. Dalalyan A. Minasyan 18 25 0 04 Feb 2020
Lecture Notes: Selected topics on robust statistical learning theory M. Lerasle OOD 14 32 0 28 Aug 2019
Distributed High-dimensional Regression Under a Quantile Loss Function Xi Chen Weidong Liu Xiaojun Mao Zhuoyi Yang 17 71 0 13 Jun 2019
Mean estimation and regression under heavy-tailed distributions--a survey Gabor Lugosi S. Mendelson 8 238 0 10 Jun 2019
Robust subgaussian estimation of a mean vector in nearly linear time Jules Depersin Guillaume Lecué 21 92 0 07 Jun 2019
Robust high dimensional learning for Lipschitz and convex losses Geoffrey Chinot Guillaume Lecué M. Lerasle 21 18 0 10 May 2019
Confidence regions and minimax rates in outlier-robust estimation on the probability simplex A. Bateni A. Dalalyan 9 6 0 12 Feb 2019
A MOM-based ensemble method for robustness, subsampling and hyperparameter tuning Joon Kwon Guillaume Lecué M. Lerasle 14 2 0 06 Dec 2018
Robust descent using smoothed multiplicative noise Matthew J. Holland OOD 13 27 0 15 Oct 2018
Robust classification via MOM minimization Guillaume Lecué M. Lerasle Timlothée Mathieu 14 48 0 09 Aug 2018
Finite sample improvement of Akaike's Information Criterion Adrien Saumard F. Navarro 6 3 0 06 Mar 2018
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means M. Lerasle Z. Szabó Gaspar Massiot Guillaume Lecué 26 34 0 13 Feb 2018
Minimax estimation of a p-dimensional linear functional in sparse Gaussian models and robust estimation of the mean O. Collier A. Dalalyan 14 8 0 15 Dec 2017
Robust machine learning by median-of-means : theory and practice Guillaume Lecué M. Lerasle OOD 31 155 0 28 Nov 2017
Efficient learning with robust gradient descent Matthew J. Holland K. Ikeda OOD 17 26 0 01 Jun 2017
Regularization, sparse recovery, and median-of-means tournaments Gábor Lugosi S. Mendelson 25 48 0 15 Jan 2017
Simpler PAC-Bayesian Bounds for Hostile Data Pierre Alquier Benjamin Guedj 79 72 0 23 Oct 2016
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax Weijie Su Emmanuel Candes 65 145 0 29 Mar 2015
Learning without Concentration for General Loss Functions S. Mendelson 55 65 0 13 Oct 2014
Learning without Concentration S. Mendelson 80 334 0 01 Jan 2014