Geometric median and robust estimation in Banach spaces

6 August 2013

Papers citing "Geometric median and robust estimation in Banach spaces"

50 / 58 papers shown

Title
Boosting-Enabled Robust System Identification of Partially Observed LTI Systems Under Heavy-Tailed Noise Vinay Kanakeri Aritra Mitra 22 0 0 25 Apr 2025
Geometric Median Matching for Robust k-Subset Selection from Noisy Data Anish Acharya Sujay Sanghavi Alexandros G. Dimakis Inderjit S Dhillon AAML 59 0 0 01 Apr 2025
Do we really need the Rademacher complexities? Daniel Bartl S. Mendelson 68 0 0 24 Feb 2025
Geometric Median (GM) Matching for Robust Data Pruning Anish Acharya Inderjit S Dhillon Sujay Sanghavi AAML 59 0 0 20 Jan 2025
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates Puning Zhao Jiafei Wu Zhe Liu Chong Wang Rongfei Fan Qingming Li 45 1 0 19 Aug 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 41 1 0 01 Jun 2024
Black-Box $k$ -to- $1$ -PCA Reductions: Theory and Applications A. Jambulapati Syamantak Kumar Jerry Li Shourya Pandey Ankit Pensia Kevin Tian 39 2 0 06 Mar 2024
Time-Uniform Confidence Spheres for Means of Random Vectors Ben Chugg Hongjian Wang Aaditya Ramdas 43 5 0 14 Nov 2023
On Robust Recovery of Signals from Indirect Observations Yannis Bekri A. Juditsky A. Nemirovski 23 2 0 12 Sep 2023
Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards Semih Cayci A. Eryilmaz 18 2 0 20 Jun 2023
Robust Sparse Mean Estimation via Incremental Learning Jianhao Ma Ruidi Chen Yinghui He S. Fattahi Wei Hu 36 0 0 24 May 2023
Robust empirical risk minimization via Newton's method Eirini Ioannou Muni Sreenivas Pydi Po-Ling Loh 23 2 0 30 Jan 2023
On deviation probabilities in non-parametric regression Anna Ben-Hamou A. Guyader 29 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 26 12 0 30 Dec 2022
On Medians of (Randomized) Pairwise Means Pierre Laforgue Stéphan Clémençon Patrice Bertail 19 12 0 01 Nov 2022
Improved covariance estimation: optimal robustness and sub-Gaussian guarantees under heavy tails R. I. Oliveira Zoraida F. Rico 16 10 0 27 Sep 2022
A universal robustification procedure Riccardo Passeggeri Nancy Reid 11 0 0 14 Jun 2022
Robust Matrix Completion with Heavy-tailed Noise Bingyan Wang Jianqing Fan 21 3 0 09 Jun 2022
Over-The-Air Federated Learning under Byzantine Attacks Houssem Sifaou Geoffrey Ye Li OOD FedML 27 7 0 05 May 2022
Byzantine-Robust Federated Linear Bandits Ali Jadbabaie Haochuan Li Jian Qian Yi Tian FedML 21 12 0 03 Apr 2022
Introduction to Coresets: Approximated Mean Alaa Maalouf Ibrahim Jubran Dan Feldman 19 6 0 04 Nov 2021
BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers Xin-Yue Fan Yue Wang Yan Huo Zhi Tian FedML 22 23 0 18 Oct 2021
Dimension-free Bounds for Sums of Independent Matrices and Simple Tensors via the Variational Principle Nikita Zhivotovskiy 24 35 0 18 Aug 2021
Do we need to estimate the variance in robust mean estimation? Qiang Sun OOD 24 7 0 30 Jun 2021
On the Strategyproofness of the Geometric Median El-Mahdi El-Mhamdi Sadegh Farhadkhani R. Guerraoui L. Hoang FedML 22 18 0 04 Jun 2021
Distribution-Free Robust Linear Regression Jaouad Mourtada Tomas Vaskevicius Nikita Zhivotovskiy OOD 20 23 0 25 Feb 2021
Learning from History for Byzantine Robust Optimization Sai Praneeth Karimireddy Lie He Martin Jaggi FedML AAML 22 173 0 18 Dec 2020
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data Di Wang Hanshen Xiao S. Devadas Jinhui Xu 18 55 0 21 Oct 2020
ByzShield: An Efficient and Robust System for Distributed Training Konstantinos Konstantinidis A. Ramamoorthy AAML FedML 19 11 0 10 Oct 2020
Outlier Robust Mean Estimation with Subgaussian Rates via Stability Ilias Diakonikolas D. Kane Ankit Pensia 26 57 0 30 Jul 2020
A spectral algorithm for robust regression with subgaussian rates Jules Depersin 23 14 0 12 Jul 2020
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis C. Caramanis 21 39 0 16 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 27 12 0 24 Apr 2020
Robust Aggregation for Federated Learning Krishna Pillutla Sham Kakade Zaïd Harchaoui FedML 35 629 0 31 Dec 2019
Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks Zhaoxian Wu Qing Ling Tianyi Chen G. Giannakis FedML AAML 32 181 0 29 Dec 2019
A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates Zhixian Lei K. Luh Prayaag Venkat Fred Zhang 58 35 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
KNG: The K-Norm Gradient Mechanism M. Reimherr Jordan Awan 29 23 0 23 May 2019
Robust Inference via Multiplier Bootstrap Xi Chen Wen-Xin Zhou 24 31 0 18 Mar 2019
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 48 0 09 Aug 2018
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning Dong Yin Yudong Chen K. Ramchandran Peter L. Bartlett FedML 26 97 0 14 Jun 2018
Solvable Integration Problems and Optimal Sample Size Selection R. Kunsch E. Novak Daniel Rudolf 16 15 0 22 May 2018
Generalized Byzantine-tolerant SGD Cong Xie Oluwasanmi Koyejo Indranil Gupta AAML 11 254 0 27 Feb 2018
Robust Estimation via Robust Gradient Estimation Adarsh Prasad A. Suggala Sivaraman Balakrishnan Pradeep Ravikumar 30 220 0 19 Feb 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
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery Tyler Maunu Teng Zhang Gilad Lerman 16 63 0 13 Jun 2017
Convergence rates of least squares regression estimators with heavy-tailed errors Q. Han J. Wellner 15 44 0 07 Jun 2017
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent Yudong Chen Lili Su Jiaming Xu FedML 11 241 0 16 May 2017