Efficient Algorithms and Lower Bounds for Robust Linear Regression

31 May 2018

Papers citing "Efficient Algorithms and Lower Bounds for Robust Linear Regression"

49 / 49 papers shown

Title
Optimal Rates for Robust Stochastic Convex Optimization Changyu Gao Andrew Lowy Xingyu Zhou Stephen J. Wright 71 0 0 15 Dec 2024
Adversarial Phase Retrieval via Nonlinear Least Absolute Deviation Gao Huang Song Li Hang Xu 22 0 0 11 Dec 2023
Near-Optimal Mean Estimation with Unknown, Heteroskedastic Variances Spencer Compton Gregory Valiant 15 2 0 05 Dec 2023
On Robust Recovery of Signals from Indirect Observations Yannis Bekri A. Juditsky A. Nemirovski 23 2 0 12 Sep 2023
SQ Lower Bounds for Learning Bounded Covariance GMMs Ilias Diakonikolas D. Kane Thanasis Pittas Nikos Zarifis 25 0 0 22 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
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
Near Optimal Private and Robust Linear Regression Xiyang Liu Prateek Jain Weihao Kong Sewoong Oh A. Suggala 38 9 0 30 Jan 2023
Robust empirical risk minimization via Newton's method Eirini Ioannou Muni Sreenivas Pydi Po-Ling Loh 21 2 0 30 Jan 2023
A Bayesian Robust Regression Method for Corrupted Data Reconstruction Zheyi Fan Zhaohui Li Jingyan Wang Dennis K. J. Lin X. Xiong Qingpei Hu AAML 18 0 0 24 Dec 2022
Robustness Implies Privacy in Statistical Estimation Samuel B. Hopkins Gautam Kamath Mahbod Majid Shyam Narayanan 18 49 0 09 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
Efficient List-Decodable Regression using Batches Abhimanyu Das Ayush Jain Weihao Kong Rajat Sen 28 4 0 23 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
Hardness and Algorithms for Robust and Sparse Optimization Eric Price Sandeep Silwal Samson Zhou 29 7 0 29 Jun 2022
Robust and Sparse Estimation of Linear Regression Coefficients with Heavy-tailed Noises and Covariates Takeyuki Sasai 18 4 0 15 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
Optimal SQ Lower Bounds for Robustly Learning Discrete Product Distributions and Ising Models Ilias Diakonikolas D. Kane Yuxin Sun 28 1 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 95 30 0 24 May 2022
Streaming Algorithms for High-Dimensional Robust Statistics Ilias Diakonikolas D. Kane Ankit Pensia Thanasis Pittas 14 21 0 26 Apr 2022
Differentially Private Regression with Unbounded Covariates Jason Milionis Alkis Kalavasis Dimitris Fotakis Stratis Ioannidis 23 10 0 19 Feb 2022
Robust estimation algorithms don't need to know the corruption level Ayush Jain A. Orlitsky V. Ravindrakumar 13 6 0 11 Feb 2022
Non-Gaussian Component Analysis via Lattice Basis Reduction Ilias Diakonikolas D. Kane 31 18 0 16 Dec 2021
Lattice-Based Methods Surpass Sum-of-Squares in Clustering Ilias Zadik M. Song Alexander S. Wein Joan Bruna 14 35 0 07 Dec 2021
Inferring Hidden Structures in Random Graphs Wasim Huleihel 16 7 0 05 Oct 2021
ReLU Regression with Massart Noise Ilias Diakonikolas Jongho Park Christos Tzamos 48 11 0 10 Sep 2021
Robust Regression Revisited: Acceleration and Improved Estimation Rates A. Jambulapati J. Li T. Schramm Kevin Tian AAML 32 17 0 22 Jun 2021
Near-Optimal Statistical Query Hardness of Learning Halfspaces with Massart Noise Ilias Diakonikolas D. Kane 11 24 0 17 Dec 2020
Small Covers for Near-Zero Sets of Polynomials and Learning Latent Variable Models Ilias Diakonikolas D. Kane 19 32 0 14 Dec 2020
Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent Matthew Brennan Guy Bresler Samuel B. Hopkins J. Li T. Schramm 19 62 0 13 Sep 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
A spectral algorithm for robust regression with subgaussian rates Jules Depersin 19 14 0 12 Jul 2020
Universal Robust Regression via Maximum Mean Discrepancy Pierre Alquier Mathieu Gerber 38 15 0 01 Jun 2020
Robust estimation via generalized quasi-gradients Banghua Zhu Jiantao Jiao Jacob Steinhardt 21 43 0 28 May 2020
Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits Yuetian Luo Anru R. Zhang 35 44 0 21 May 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage Matthew Brennan Guy Bresler 26 85 0 16 May 2020
Robustly Learning any Clusterable Mixture of Gaussians Ilias Diakonikolas Samuel B. Hopkins D. Kane Sushrut Karmalkar 34 45 0 13 May 2020
Robust subgaussian estimation with VC-dimension Jules Depersin 25 12 0 24 Apr 2020
Robust estimation with Lasso when outputs are adversarially contaminated Takeyuki Sasai Hironori Fujisawa 19 8 0 13 Apr 2020
On Robust Mean Estimation under Coordinate-level Corruption Zifan Liu Jongho Park Theodoros Rekatsinas Christos Tzamos 27 8 0 10 Feb 2020
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering Ilias Diakonikolas Sushrut Karmalkar D. Kane Eric Price Alistair Stewart 23 41 0 19 Nov 2019
Distribution-Independent PAC Learning of Halfspaces with Massart Noise Ilias Diakonikolas Themis Gouleakis Christos Tzamos 38 80 0 24 Jun 2019
Robust subgaussian estimation of a mean vector in nearly linear time Jules Depersin Guillaume Lecué 21 92 0 07 Jun 2019
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement Ming Lin Xiaomin Song Qi Qian Hao Li Liang Sun Shenghuo Zhu R. L. Jin 19 15 0 03 Jun 2019
List-Decodable Linear Regression Sushrut Karmalkar Adam R. Klivans Pravesh Kothari 24 74 0 14 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
Efficient Algorithms for Outlier-Robust Regression Adam R. Klivans Pravesh Kothari Raghu Meka AAML 24 154 0 08 Mar 2018
Robust Learning of Fixed-Structure Bayesian Networks Yu Cheng Ilias Diakonikolas D. Kane Alistair Stewart OOD 41 46 0 23 Jun 2016