Robust machine learning by median-of-means : theory and practice

28 November 2017

Papers citing "Robust machine learning by median-of-means : theory and practice"

36 / 36 papers shown

Title
On Robust Recovery of Signals from Indirect Observations Yannis Bekri A. Juditsky A. Nemirovski 23 2 0 12 Sep 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 21 2 0 30 Jan 2023
On deviation probabilities in non-parametric regression Anna Ben-Hamou A. Guyader 26 1 0 25 Jan 2023
Huber-Robust Confidence Sequences Hongjian Wang Aaditya Ramdas 13 13 0 23 Jan 2023
On Medians of (Randomized) Pairwise Means Pierre Laforgue Stéphan Clémençon Patrice Bertail 16 12 0 01 Nov 2022
Robust and Tuning-Free Sparse Linear Regression via Square-Root Slope Stanislav Minsker M. Ndaoud Lan Wang 34 8 0 30 Oct 2022
Outlier Robust and Sparse Estimation of Linear Regression Coefficients Takeyuki Sasai Hironori Fujisawa 27 4 0 24 Aug 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 30 32 0 18 Jul 2022
A universal robustification procedure Riccardo Passeggeri Nancy Reid 11 0 0 14 Jun 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 95 30 0 24 May 2022
Byzantine-Robust Federated Linear Bandits Ali Jadbabaie Haochuan Li Jian Qian Yi Tian FedML 21 12 0 03 Apr 2022
Jury Learning: Integrating Dissenting Voices into Machine Learning Models Mitchell L. Gordon Michelle S. Lam J. Park Kayur Patel Jeffrey T. Hancock Tatsunori Hashimoto Michael S. Bernstein 19 146 0 07 Feb 2022
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering Debolina Paul Saptarshi Chakraborty Swagatam Das Jason Xu 12 16 0 27 Oct 2021
Empirically Measuring Transfer Distance for System Design and Operation Tyler Cody Stephen C. Adams Peter A. Beling 19 12 0 02 Jul 2021
Do we need to estimate the variance in robust mean estimation? Qiang Sun OOD 24 7 0 30 Jun 2021
Non-asymptotic analysis and inference for an outlyingness induced winsorized mean Y. Zuo 19 1 0 05 May 2021
MLDemon: Deployment Monitoring for Machine Learning Systems Antonio A. Ginart Martin Jinye Zhang James Y. Zou 46 18 0 28 Apr 2021
A spectral algorithm for robust regression with subgaussian rates Jules Depersin 19 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 25 12 0 24 Apr 2020
Robust $k$ -means Clustering for Distributions with Two Moments Yegor Klochkov Alexey Kroshnin Nikita Zhivotovskiy 20 19 0 06 Feb 2020
All-In-One Robust Estimator of the Gaussian Mean A. Dalalyan A. Minasyan 18 25 0 04 Feb 2020
Robust Aggregation for Federated Learning Krishna Pillutla Sham Kakade Zaïd Harchaoui FedML 30 629 0 31 Dec 2019
High-Dimensional Granger Causality Tests with an Application to VIX and News Andrii Babii Eric Ghysels Jonas Striaukas 27 100 0 13 Dec 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 23 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 18 66 0 12 Apr 2019
Robust learning and complexity dependent bounds for regularized problems Geoffrey Chinot 16 2 0 06 Feb 2019
Uniform bounds for robust mean estimators Stanislav Minsker OOD FedML 10 35 0 09 Dec 2018
Robust Estimation via Robust Gradient Estimation Adarsh Prasad A. Suggala Sivaraman Balakrishnan Pradeep Ravikumar 30 220 0 19 Feb 2018
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 57 65 0 13 Oct 2014
Learning without Concentration S. Mendelson 85 334 0 01 Jan 2014
High-dimensional generalized linear models and the lasso Sara van de Geer 189 749 0 04 Apr 2008