Robust estimation via generalized quasi-gradients

28 May 2020

Papers citing "Robust estimation via generalized quasi-gradients"

28 / 28 papers shown

Title
Towards Trustworthy Federated Learning with Untrusted Participants Youssef Allouah R. Guerraoui John Stephan FedML 46 0 0 03 May 2025
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination Ilias Diakonikolas Daniel M. Kane Sushrut Karmalkar Ankit Pensia Thanasis Pittas 34 0 0 15 Mar 2024
A Sub-Quadratic Time Algorithm for Robust Sparse Mean Estimation Ankit Pensia 24 0 0 07 Mar 2024
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression Ilias Diakonikolas Daniel M. Kane Ankit Pensia Thanasis Pittas 27 2 0 04 Dec 2023
High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers Puning Zhao Zhiguo Wan OOD FedML 36 4 0 25 Jul 2023
A Novel Framework for Improving the Breakdown Point of Robust Regression Algorithms Zheyi Fan S. Ng Q. Hu 17 0 0 20 May 2023
Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA Ilias Diakonikolas D. Kane Ankit Pensia Thanasis Pittas OOD 34 10 0 04 May 2023
On the Privacy-Robustness-Utility Trilemma in Distributed Learning Youssef Allouah R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 11 21 0 09 Feb 2023
A New Approach to Learning Linear Dynamical Systems Ainesh Bakshi Allen Liu Ankur Moitra Morris Yau 30 14 0 23 Jan 2023
Robustifying Markowitz W. Hardle Yegor Klochkov Alla Petukhina Nikita Zhivotovskiy 11 7 0 28 Dec 2022
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions Ilias Diakonikolas D. Kane Jasper C. H. Lee Ankit Pensia 17 12 0 29 Nov 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 25 0 0 06 Sep 2022
Hardness and Algorithms for Robust and Sparse Optimization Eric Price Sandeep Silwal Samson Zhou 27 7 0 29 Jun 2022
Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models Pranjal Awasthi Abhimanyu Das Weihao Kong Rajat Sen 23 5 0 09 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 93 30 0 24 May 2022
Outlier-Robust Sparse Estimation via Non-Convex Optimization Yu Cheng Ilias Diakonikolas Rong Ge Shivam Gupta D. Kane Mahdi Soltanolkotabi 34 13 0 23 Sep 2021
Robust Regression Revisited: Acceleration and Improved Estimation Rates A. Jambulapati J. Li T. Schramm Kevin Tian AAML 27 17 0 22 Jun 2021
Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time Yu Cheng Honghao Lin OOD 19 0 0 12 May 2021
Concentration study of M-estimators using the influence function Timothée Mathieu 20 7 0 09 Apr 2021
Robustly Learning Mixtures of $k$ Arbitrary Gaussians Ainesh Bakshi Ilias Diakonikolas Hengrui Jia D. Kane Pravesh Kothari Santosh Vempala 21 64 0 03 Dec 2020
Online and Distribution-Free Robustness: Regression and Contextual Bandits with Huber Contamination Sitan Chen Frederic Koehler Ankur Moitra Morris Yau 11 34 0 08 Oct 2020
$Robust Mean Estimation in High Dimensions via $\ell_0$ Minimization$ Robust Mean Estimation in High Dimensions via $\ell_0$ Minimization Jing Liu Aditya Deshmukh V. Veeravalli 6 0 0 21 Aug 2020
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers Lunjia Hu Omer Reingold OOD 13 5 0 18 Aug 2020
Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization Samuel B. Hopkins J. Li Fred Zhang OOD 6 62 0 31 Jul 2020
Outlier Robust Mean Estimation with Subgaussian Rates via Stability Ilias Diakonikolas D. Kane Ankit Pensia 14 57 0 30 Jul 2020
Optimal Robust Linear Regression in Nearly Linear Time Yeshwanth Cherapanamjeri Efe Aras Nilesh Tripuraneni Michael I. Jordan Nicolas Flammarion Peter L. Bartlett 33 35 0 16 Jul 2020
Robust Linear Regression: Optimal Rates in Polynomial Time Ainesh Bakshi Adarsh Prasad 11 58 0 29 Jun 2020
Generalized Resilience and Robust Statistics Banghua Zhu Jiantao Jiao Jacob Steinhardt 19 45 0 19 Sep 2019