Sub-Gaussian mean estimators

19 September 2015

Gabor Lugosi

Papers citing "Sub-Gaussian mean estimators"

46 / 46 papers shown

Title
Robust estimations from distribution structures: I. Mean Tuobang Li OOD 21 0 0 18 Mar 2024
Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond $1+α$ Moments Trung Dang Jasper C. H. Lee Maoyuan Song Paul Valiant 27 1 0 21 Nov 2023
Time-Uniform Confidence Spheres for Means of Random Vectors Ben Chugg Hongjian Wang Aaditya Ramdas 53 5 0 14 Nov 2023
CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption Shubhada Agrawal Timothée Mathieu D. Basu Odalric-Ambrym Maillard 30 2 0 28 Sep 2023
Tight Bounds for Local Glivenko-Cantelli Moïse Blanchard Václav Vorácek 37 5 0 03 Aug 2023
Efficient median of means estimator Stanislav Minsker 23 5 0 30 May 2023
High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors Shivam Gupta Jasper C. H. Lee Eric Price 20 7 0 05 Feb 2023
Robust variance-regularized risk minimization with concomitant scaling Matthew J. Holland 36 1 0 27 Jan 2023
On deviation probabilities in non-parametric regression Anna Ben-Hamou A. Guyader 37 1 0 25 Jan 2023
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery Junren Chen Michael Kwok-Po Ng Di Wang MQ 33 14 0 30 Dec 2022
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method Manyi Zhang Xuyang Zhao Jun Yao Chun Yuan Weiran Huang 49 20 0 20 Nov 2022
On Medians of (Randomized) Pairwise Means Pierre Laforgue Stéphan Clémençon Patrice Bertail 29 12 0 01 Nov 2022
Improved covariance estimation: optimal robustness and sub-Gaussian guarantees under heavy tails R. I. Oliveira Zoraida F. Rico 42 10 0 27 Sep 2022
Super-polynomial accuracy of multidimensional randomized nets using the median-of-means Z. Pan Art B. Owen 6 14 0 09 Aug 2022
U-statistics of growing order and sub-Gaussian mean estimators with sharp constants Stanislav Minsker 29 13 0 24 Feb 2022
Robust parameter estimation of regression model under weakened moment assumptions Kangqiang Li Songqiao Tang Lixin Zhang 31 0 0 08 Dec 2021
A Survey of Learning Criteria Going Beyond the Usual Risk Matthew J. Holland Kazuki Tanabe FaML 29 4 0 11 Oct 2021
Do we need to estimate the variance in robust mean estimation? Qiang Sun OOD 32 7 0 30 Jun 2021
Spectral risk-based learning using unbounded losses Matthew J. Holland El Mehdi Haress 24 10 0 11 May 2021
Distribution-Free Robust Linear Regression Jaouad Mourtada Tomas Vaskevicius Nikita Zhivotovskiy OOD 36 23 0 25 Feb 2021
Optimal Mean Estimation without a Variance Yeshwanth Cherapanamjeri Nilesh Tripuraneni Peter L. Bartlett Michael I. Jordan 26 21 0 24 Nov 2020
Outlier Robust Mean Estimation with Subgaussian Rates via Stability Ilias Diakonikolas D. Kane Ankit Pensia 29 57 0 30 Jul 2020
A spectral algorithm for robust regression with subgaussian rates Jules Depersin 23 14 0 12 Jul 2020
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study Pierre Laforgue Guillaume Staerman Stéphan Clémençon 16 3 0 09 Jun 2020
Universal Robust Regression via Maximum Mean Discrepancy Pierre Alquier Mathieu Gerber 45 15 0 01 Jun 2020
Better scalability under potentially heavy-tailed gradients Matthew J. Holland 13 1 0 01 Jun 2020
Robust subgaussian estimation with VC-dimension Jules Depersin 27 12 0 24 Apr 2020
All-In-One Robust Estimator of the Gaussian Mean A. Dalalyan A. Minasyan 35 25 0 04 Feb 2020
Still no free lunches: the price to pay for tighter PAC-Bayes bounds Benjamin Guedj L. Pujol FedML 8 23 0 10 Oct 2019
A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates Zhixian Lei K. Luh Prayaag Venkat Fred Zhang 66 34 0 13 Aug 2019
Robust subgaussian estimation of a mean vector in nearly linear time Jules Depersin Guillaume Lecué 21 92 0 07 Jun 2019
PAC-Bayes under potentially heavy tails Matthew J. Holland 25 42 0 20 May 2019
Robust high dimensional learning for Lipschitz and convex losses Geoffrey Chinot Guillaume Lecué M. Lerasle 29 18 0 10 May 2019
$Outlier-robust estimation of a sparse linear model using $\ell_1$-penalized Huber's $M$-estimator$ Outlier-robust estimation of a sparse linear model using $\ell_1$ -penalized Huber's $M$ -estimator A. Dalalyan Philip Thompson 25 67 0 12 Apr 2019
Robust Inference via Multiplier Bootstrap Xi Chen Wen-Xin Zhou 27 31 0 18 Mar 2019
A Primer on PAC-Bayesian Learning Benjamin Guedj 20 221 0 16 Jan 2019
Uniform bounds for robust mean estimators Stanislav Minsker OOD FedML 10 35 0 09 Dec 2018
Mean Estimation with Sub-Gaussian Rates in Polynomial Time Samuel B. Hopkins 18 79 0 19 Sep 2018
Robust classification via MOM minimization Guillaume Lecué M. Lerasle Timlothée Mathieu 16 47 0 09 Aug 2018
Solvable Integration Problems and Optimal Sample Size Selection R. Kunsch E. Novak Daniel Rudolf 25 15 0 22 May 2018
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means M. Lerasle Z. Szabó Gaspar Massiot Guillaume Lecué 36 35 0 13 Feb 2018
Adaptive Huber Regression Qiang Sun Wen-Xin Zhou Jianqing Fan 50 277 0 21 Jun 2017
Convergence rates of least squares regression estimators with heavy-tailed errors Q. Han J. Wellner 21 45 0 07 Jun 2017
Learning from MOM's principles: Le Cam's approach Lecué Guillaume Lerasle Matthieu 40 51 0 08 Jan 2017
Simpler PAC-Bayesian Bounds for Hostile Data Pierre Alquier Benjamin Guedj 89 72 0 23 Oct 2016
Sub-Gaussian estimators of the mean of a random matrix with heavy-tailed entries Stanislav Minsker 32 103 0 23 May 2016