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Robust Linear Regression: Optimal Rates in Polynomial Time

Robust Linear Regression: Optimal Rates in Polynomial Time

29 June 2020
Ainesh Bakshi
Adarsh Prasad
ArXivPDFHTML

Papers citing "Robust Linear Regression: Optimal Rates in Polynomial Time"

19 / 19 papers shown
Title
Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point
Hongjie Chen
Jingqiu Ding
Yiding Hua
Stefan Tiegel
61
0
0
05 Mar 2025
Towards Practical Robustness Auditing for Linear Regression
Towards Practical Robustness Auditing for Linear Regression
Daniel Freund
Samuel B. Hopkins
AAML
22
2
0
30 Jul 2023
Estimating Optimal Policy Value in General Linear Contextual Bandits
Estimating Optimal Policy Value in General Linear Contextual Bandits
Jonathan Lee
Weihao Kong
Aldo Pacchiano
Vidya Muthukumar
Emma Brunskill
23
0
0
19 Feb 2023
Near Optimal Private and Robust Linear Regression
Near Optimal Private and Robust Linear Regression
Xiyang Liu
Prateek Jain
Weihao Kong
Sewoong Oh
A. Suggala
38
9
0
30 Jan 2023
Outlier Robust and Sparse Estimation of Linear Regression Coefficients
Outlier Robust and Sparse Estimation of Linear Regression Coefficients
Takeyuki Sasai
Hironori Fujisawa
27
4
0
24 Aug 2022
Minimax Rates for Robust Community Detection
Minimax Rates for Robust Community Detection
Allen Liu
Ankur Moitra
20
13
0
25 Jul 2022
Hardness and Algorithms for Robust and Sparse Optimization
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
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
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
Robust Voting Rules from Algorithmic Robust Statistics
Robust Voting Rules from Algorithmic Robust Statistics
Allen Liu
Ankur Moitra
26
4
0
13 Dec 2021
Kalman Filtering with Adversarial Corruptions
Kalman Filtering with Adversarial Corruptions
Sitan Chen
Frederic Koehler
Ankur Moitra
Morris Yau
AAML
27
10
0
11 Nov 2021
Polynomial-Time Sum-of-Squares Can Robustly Estimate Mean and Covariance
  of Gaussians Optimally
Polynomial-Time Sum-of-Squares Can Robustly Estimate Mean and Covariance of Gaussians Optimally
Pravesh Kothari
Peter Manohar
Brian Hu Zhang
17
16
0
22 Oct 2021
Robust Regression Revisited: Acceleration and Improved Estimation Rates
Robust Regression Revisited: Acceleration and Improved Estimation Rates
A. Jambulapati
J. Li
T. Schramm
Kevin Tian
AAML
32
17
0
22 Jun 2021
Learning GMMs with Nearly Optimal Robustness Guarantees
Learning GMMs with Nearly Optimal Robustness Guarantees
Allen Liu
Ankur Moitra
21
15
0
19 Apr 2021
An Exponential Lower Bound for Linearly-Realizable MDPs with Constant
  Suboptimality Gap
An Exponential Lower Bound for Linearly-Realizable MDPs with Constant Suboptimality Gap
Yuanhao Wang
Ruosong Wang
Sham Kakade
OffRL
37
43
0
23 Mar 2021
Settling the Robust Learnability of Mixtures of Gaussians
Settling the Robust Learnability of Mixtures of Gaussians
Allen Liu
Ankur Moitra
32
41
0
06 Nov 2020
Optimal Robust Linear Regression in Nearly Linear Time
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 estimation via generalized quasi-gradients
Robust estimation via generalized quasi-gradients
Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
21
43
0
28 May 2020
List Decodable Subspace Recovery
List Decodable Subspace Recovery
P. Raghavendra
Morris Yau
34
25
0
07 Feb 2020
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