Robust multivariate mean estimation: the optimality of trimmed mean

26 July 2019

Gabor Lugosi

Papers citing "Robust multivariate mean estimation: the optimality of trimmed mean"

36 / 36 papers shown

Title
Boosting-Enabled Robust System Identification of Partially Observed LTI Systems Under Heavy-Tailed Noise Vinay Kanakeri Aritra Mitra 29 0 0 25 Apr 2025
Do we really need the Rademacher complexities? Daniel Bartl S. Mendelson 68 0 0 24 Feb 2025
Time-Uniform Confidence Spheres for Means of Random Vectors Ben Chugg Hongjian Wang Aaditya Ramdas 51 5 0 14 Nov 2023
Tight Bounds for Local Glivenko-Cantelli Moïse Blanchard Václav Vorácek 37 5 0 03 Aug 2023
Adversarially robust clustering with optimality guarantees Soham Jana Kun Yang Sanjeev R. Kulkarni AAML 36 2 0 16 Jun 2023
Robust Sparse Mean Estimation via Incremental Learning Jianhao Ma Ruidi Chen Yinghui He S. Fattahi Wei Hu 41 0 0 24 May 2023
Covariance Estimation under Missing Observations and $L_4-L_2$ Moment Equivalence Pedro Abdalla 36 1 0 22 May 2023
Huber-Robust Confidence Sequences Hongjian Wang Aaditya Ramdas 34 13 0 23 Jan 2023
Statistically Optimal Robust Mean and Covariance Estimation for Anisotropic Gaussians A. Minasyan Nikita Zhivotovskiy 36 9 0 21 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 28 13 0 30 Dec 2022
Robustifying Markowitz W. Hardle Yegor Klochkov Alla Petukhina Nikita Zhivotovskiy 19 7 0 28 Dec 2022
Robust and Tuning-Free Sparse Linear Regression via Square-Root Slope Stanislav Minsker M. Ndaoud Lan Wang 45 8 0 30 Oct 2022
On the Impossible Safety of Large AI Models El-Mahdi El-Mhamdi Sadegh Farhadkhani R. Guerraoui Nirupam Gupta L. Hoang Rafael Pinot Sébastien Rouault John Stephan 37 31 0 30 Sep 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
Robust Online and Distributed Mean Estimation Under Adversarial Data Corruption Tong Yao S. Sundaram FedML 33 3 0 17 Sep 2022
Learning from a Biased Sample Roshni Sahoo Lihua Lei Stefan Wager 27 17 0 05 Sep 2022
Outlier Robust and Sparse Estimation of Linear Regression Coefficients Takeyuki Sasai Hironori Fujisawa 35 4 0 24 Aug 2022
Robust Methods for High-Dimensional Linear Learning Ibrahim Merad Stéphane Gaïffas OOD 55 3 0 10 Aug 2022
Robust and Sparse Estimation of Linear Regression Coefficients with Heavy-tailed Noises and Covariates Takeyuki Sasai 26 4 0 15 Jun 2022
Robust Sparse Mean Estimation via Sum of Squares Ilias Diakonikolas D. Kane Sushrut Karmalkar Ankit Pensia Thanasis Pittas 30 21 0 07 Jun 2022
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds A. Mitra Arman Adibi George J. Pappas Hamed Hassani 44 6 0 06 Jun 2022
Private and Byzantine-Proof Cooperative Decision-Making Abhimanyu Dubey Alex Pentland 19 24 0 27 May 2022
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees Banghua Zhu Lun Wang Qi Pang Shuai Wang Jiantao Jiao D. Song Michael I. Jordan FedML 98 30 0 24 May 2022
Covariance Estimation: Optimal Dimension-free Guarantees for Adversarial Corruption and Heavy Tails Pedro Abdalla Nikita Zhivotovskiy 40 25 0 17 May 2022
Federated Multi-Armed Bandits Under Byzantine Attacks Artun Saday Ilker Demirel Yiğit Yıldırım Cem Tekin AAML 37 13 0 09 May 2022
Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents Arman Adibi A. Mitra George J. Pappas Hamed Hassani 32 3 0 07 Apr 2022
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
Non-asymptotic analysis and inference for an outlyingness induced winsorized mean Y. Zuo 27 1 0 05 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
Multivariate mean estimation with direction-dependent accuracy Gabor Lugosi S. Mendelson 37 12 0 22 Oct 2020
Outlier Robust Mean Estimation with Subgaussian Rates via Stability Ilias Diakonikolas D. Kane Ankit Pensia 29 57 0 30 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
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