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Robust Covariance and Scatter Matrix Estimation under Huber's Contamination Model

1 June 2015

Papers citing "Robust Covariance and Scatter Matrix Estimation under Huber's Contamination Model"

50 / 70 papers shown

Title
Metric properties of partial and robust Gromov-Wasserstein distances Jannatul Chhoa Michael Ivanitskiy Fushuai Jiang Shiying Li Daniel McBride Tom Needham Kaiying O'Hare 86 0 0 04 Nov 2024
Factor Strength Estimation in Vector and Matrix Time Series Factor Models Weilin Chen Clifford Lam AI4TS 76 1 0 12 May 2024
Time-Uniform Confidence Spheres for Means of Random Vectors Ben Chugg Hongjian Wang Aaditya Ramdas 203 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 59 3 0 28 Sep 2023
Robust covariance estimation with missing values and cell-wise contamination Karim Lounici Grégoire Pacreau 107 2 0 01 Jun 2023
Computationally Efficient and Statistically Optimal Robust High-Dimensional Linear Regression Yinan Shen Jingyang Li Jian-Feng Cai Dong Xia 59 1 0 10 May 2023
On Private and Robust Bandits Yulian Wu Xingyu Zhou Youming Tao Di Wang 76 7 0 06 Feb 2023
Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies Runzhe Wan Yingying Li Wenbin Lu Rui Song 62 4 0 25 Dec 2022
$A spectral least-squares-type method for heavy-tailed corrupted regression with unknown covariance \& heterogeneous noise$ A spectral least-squares-type method for heavy-tailed corrupted regression with unknown covariance \& heterogeneous noise R. I. Oliveira Zoraida F. Rico Philip Thompson 65 0 0 06 Sep 2022
Outlier Robust and Sparse Estimation of Linear Regression Coefficients Takeyuki Sasai Hironori Fujisawa 89 4 0 24 Aug 2022
Exact and approximate computation of the scatter halfspace depth Xiaohui Liu Yuzi Liu Petra Laketa Stanislav Nagy Yuting Chen 39 0 0 10 Aug 2022
Tyler's and Maronna's M-estimators: Non-Asymptotic Concentration Results Elad Romanov Gil Kur B. Nadler 79 3 0 21 Jun 2022
Robust Sparse Mean Estimation via Sum of Squares Ilias Diakonikolas D. Kane Sushrut Karmalkar Ankit Pensia Thanasis Pittas 76 22 0 07 Jun 2022
Covariance Estimation: Optimal Dimension-free Guarantees for Adversarial Corruption and Heavy Tails Pedro Abdalla Nikita Zhivotovskiy 84 25 0 17 May 2022
Indiscriminate Data Poisoning Attacks on Neural Networks Yiwei Lu Gautam Kamath Yaoliang Yu AAML 118 26 0 19 Apr 2022
Selective inference for k-means clustering Yiqun T. Chen Daniela Witten 68 47 0 29 Mar 2022
Adaptive and Robust Multi-Task Learning Yaqi Duan Kaizheng Wang 130 27 0 10 Feb 2022
Robust supervised learning with coordinate gradient descent Stéphane Gaïffas Ibrahim Merad OOD 67 2 0 31 Jan 2022
On robustness and local differential privacy Mengchu Li Thomas B. Berrett Yi Yu 85 26 0 03 Jan 2022
Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis Sloan Nietert Rachel Cummings Ziv Goldfeld OT 100 28 0 02 Nov 2021
Volatility prediction comparison via robust volatility proxies: An empirical deviation perspective Weichen Wang Ran An Ziwei Zhu 50 2 0 04 Oct 2021
Tukey's Depth for Object Data Xiongtao Dai Sara López-Pintado 62 25 0 01 Sep 2021
Adversarially robust change point detection Mengchu Li Yi Yu AAML 53 10 0 21 May 2021
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics J. Hayase Weihao Kong Raghav Somani Sewoong Oh AAML 80 157 0 22 Apr 2021
Concentration study of M-estimators using the influence function Timothée Mathieu 69 8 0 09 Apr 2021
Robust W-GAN-Based Estimation Under Wasserstein Contamination Zheng Liu Po-Ling Loh 41 7 0 20 Jan 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild Basel Alomair Aleksander Madry Yue Liu Tom Goldstein SILM 129 282 0 18 Dec 2020
Outlier-robust sparse/low-rank least-squares regression and robust matrix completion Philip Thompson 89 9 0 12 Dec 2020
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers Lunjia Hu Omer Reingold OOD 92 5 0 18 Aug 2020
Universal Robust Regression via Maximum Mean Discrepancy Pierre Alquier Mathieu Gerber 133 16 0 01 Jun 2020
Robust estimation via generalized quasi-gradients Banghua Zhu Jiantao Jiao Jacob Steinhardt 78 43 0 28 May 2020
Model Repair: Robust Recovery of Over-Parameterized Statistical Models Chao Gao John D. Lafferty 42 6 0 20 May 2020
Robust subgaussian estimation with VC-dimension Jules Depersin 85 12 0 24 Apr 2020
Robust estimation with Lasso when outputs are adversarially contaminated Takeyuki Sasai Hironori Fujisawa 88 8 0 13 Apr 2020
All-In-One Robust Estimator of the Gaussian Mean A. Dalalyan A. Minasyan 114 25 0 04 Feb 2020
When does the Tukey median work? Banghua Zhu Jiantao Jiao Jacob Steinhardt 42 18 0 21 Jan 2020
Robust Aggregation for Federated Learning Krishna Pillutla Sham Kakade Zaïd Harchaoui FedML 156 668 0 31 Dec 2019
Recent Advances in Algorithmic High-Dimensional Robust Statistics Ilias Diakonikolas D. Kane OOD 101 184 0 14 Nov 2019
ERM and RERM are optimal estimators for regression problems when malicious outliers corrupt the labels Chinot Geoffrey 66 13 0 24 Oct 2019
Generalized Resilience and Robust Statistics Banghua Zhu Jiantao Jiao Jacob Steinhardt 92 45 0 19 Sep 2019
Lecture Notes: Selected topics on robust statistical learning theory M. Lerasle OOD 75 32 0 28 Aug 2019
Robust multivariate mean estimation: the optimality of trimmed mean Gabor Lugosi S. Mendelson 87 126 0 26 Jul 2019
Minimax rates in sparse, high-dimensional changepoint detection Haoyang Liu Chao Gao R. Samworth 68 48 0 23 Jul 2019
Distributed High-dimensional Regression Under a Quantile Loss Function Xi Chen Weidong Liu Xiaojun Mao Zhuoyi Yang 70 72 0 13 Jun 2019
Faster Algorithms for High-Dimensional Robust Covariance Estimation Yu Cheng Ilias Diakonikolas Rong Ge David P. Woodruff 74 66 0 11 Jun 2019
Robust subgaussian estimation of a mean vector in nearly linear time Jules Depersin Guillaume Lecué 140 92 0 07 Jun 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 67 68 0 12 Apr 2019
Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective Chao Gao Yuan Yao Weizhi Zhu 84 22 0 05 Mar 2019
Confidence regions and minimax rates in outlier-robust estimation on the probability simplex A. Bateni A. Dalalyan 58 5 0 12 Feb 2019
Deconstructing Generative Adversarial Networks Banghua Zhu Jiantao Jiao David Tse 87 50 0 27 Jan 2019