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Robust Estimation via Robust Gradient Estimation

Robust Estimation via Robust Gradient Estimation

19 February 2018
Adarsh Prasad
A. Suggala
Sivaraman Balakrishnan
Pradeep Ravikumar
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Papers citing "Robust Estimation via Robust Gradient Estimation"

13 / 13 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
Robust Sparse Mean Estimation via Incremental Learning
Robust Sparse Mean Estimation via Incremental Learning
Jianhao Ma
Ruidi Chen
Yinghui He
S. Fattahi
Wei Hu
6
0
0
24 May 2023
A Bayesian Robust Regression Method for Corrupted Data Reconstruction
A Bayesian Robust Regression Method for Corrupted Data Reconstruction
Zheyi Fan
Zhaohui Li
Jingyan Wang
Dennis K. J. Lin
X. Xiong
Qingpei Hu
AAML
8
0
0
24 Dec 2022
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
9
12
0
29 Nov 2022
Exponential Family Trend Filtering on Lattices
Exponential Family Trend Filtering on Lattices
Veeranjaneyulu Sadhanala
R. Bassett
James Sharpnack
D. McDonald
22
3
0
19 Sep 2022
Robust Estimation for Random Graphs
Robust Estimation for Random Graphs
Jayadev Acharya
Ayush Jain
Gautam Kamath
A. Suresh
Huanyu Zhang
16
8
0
09 Nov 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
20
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
6
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
6
45
0
13 May 2020
Randomized Reactive Redundancy for Byzantine Fault-Tolerance in
  Parallelized Learning
Randomized Reactive Redundancy for Byzantine Fault-Tolerance in Parallelized Learning
Nirupam Gupta
Nitin H. Vaidya
FedML
17
8
0
19 Dec 2019
Efficient Algorithms for Outlier-Robust Regression
Efficient Algorithms for Outlier-Robust Regression
Adam R. Klivans
Pravesh Kothari
Raghu Meka
AAML
11
154
0
08 Mar 2018
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
114
1,190
0
16 Aug 2016
A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust
  Low-Rank Matrix Recovery
A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust Low-Rank Matrix Recovery
Jianqing Fan
Weichen Wang
Ziwei Zhu
42
95
0
28 Mar 2016
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