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Efficient Algorithms for Outlier-Robust Regression

Efficient Algorithms for Outlier-Robust Regression

8 March 2018
Adam R. Klivans
Pravesh Kothari
Raghu Meka
    AAML
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Papers citing "Efficient Algorithms for Outlier-Robust Regression"

14 / 14 papers shown
Title
Optimal Rates for Robust Stochastic Convex Optimization
Optimal Rates for Robust Stochastic Convex Optimization
Changyu Gao
Andrew Lowy
Xingyu Zhou
Stephen J. Wright
66
0
0
15 Dec 2024
Tolerant Algorithms for Learning with Arbitrary Covariate Shift
Tolerant Algorithms for Learning with Arbitrary Covariate Shift
Surbhi Goel
Abhishek Shetty
Konstantinos Stavropoulos
A. Vasilyan
OOD
20
2
0
04 Jun 2024
Non-Stationary Latent Auto-Regressive Bandits
Non-Stationary Latent Auto-Regressive Bandits
Anna L. Trella
Walter Dempsey
Asim H. Gazi
Ziping Xu
Finale Doshi-Velez
Susan A. Murphy
19
1
0
05 Feb 2024
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions
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
Minimax Rates for Robust Community Detection
Minimax Rates for Robust Community Detection
Allen Liu
Ankur Moitra
8
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
20
7
0
29 Jun 2022
Robust Estimation for Random Graphs
Robust Estimation for Random Graphs
Jayadev Acharya
Ayush Jain
Gautam Kamath
A. Suresh
Huanyu Zhang
21
8
0
09 Nov 2021
ReLU Regression with Massart Noise
ReLU Regression with Massart Noise
Ilias Diakonikolas
Jongho Park
Christos Tzamos
42
11
0
10 Sep 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
27
43
0
23 Mar 2021
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
28
35
0
16 Jul 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage
Reducibility and Statistical-Computational Gaps from Secret Leakage
Matthew Brennan
Guy Bresler
19
85
0
16 May 2020
Robustly Learning any Clusterable Mixture of Gaussians
Robustly Learning any Clusterable Mixture of Gaussians
Ilias Diakonikolas
Samuel B. Hopkins
D. Kane
Sushrut Karmalkar
16
45
0
13 May 2020
Distribution-Independent PAC Learning of Halfspaces with Massart Noise
Distribution-Independent PAC Learning of Halfspaces with Massart Noise
Ilias Diakonikolas
Themis Gouleakis
Christos Tzamos
32
80
0
24 Jun 2019
Robust Learning of Fixed-Structure Bayesian Networks
Robust Learning of Fixed-Structure Bayesian Networks
Yu Cheng
Ilias Diakonikolas
D. Kane
Alistair Stewart
OOD
26
46
0
23 Jun 2016
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