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A General Method for Robust Learning from Batches

A General Method for Robust Learning from Batches

25 February 2020
Ayush Jain
A. Orlitsky
    OOD
ArXiv (abs)PDFHTML

Papers citing "A General Method for Robust Learning from Batches"

8 / 8 papers shown
Title
Robust estimation algorithms don't need to know the corruption level
Robust estimation algorithms don't need to know the corruption level
Ayush Jain
A. Orlitsky
V. Ravindrakumar
63
6
0
11 Feb 2022
Robust Estimation for Random Graphs
Robust Estimation for Random Graphs
Jayadev Acharya
Ayush Jain
Gautam Kamath
A. Suresh
Huanyu Zhang
93
9
0
09 Nov 2021
Adversarial for Good? How the Adversarial ML Community's Values Impede
  Socially Beneficial Uses of Attacks
Adversarial for Good? How the Adversarial ML Community's Values Impede Socially Beneficial Uses of Attacks
Kendra Albert
Maggie K. Delano
B. Kulynych
Ramnath Kumar
AAML
124
5
0
11 Jul 2021
FLEA: Provably Robust Fair Multisource Learning from Unreliable Training
  Data
FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data
Eugenia Iofinova
Nikola Konstantinov
Christoph H. Lampert
FaML
90
0
0
22 Jun 2021
Robust Testing and Estimation under Manipulation Attacks
Robust Testing and Estimation under Manipulation Attacks
Jayadev Acharya
Ziteng Sun
Huanyu Zhang
AAML
103
10
0
21 Apr 2021
On the Sample Complexity of Adversarial Multi-Source PAC Learning
On the Sample Complexity of Adversarial Multi-Source PAC Learning
Nikola Konstantinov
Elias Frantar
Dan Alistarh
Christoph H. Lampert
86
18
0
24 Feb 2020
Optimal Robust Learning of Discrete Distributions from Batches
Optimal Robust Learning of Discrete Distributions from Batches
Ayush Jain
A. Orlitsky
59
14
0
19 Nov 2019
Efficiently Learning Structured Distributions from Untrusted Batches
Efficiently Learning Structured Distributions from Untrusted Batches
Sitan Chen
Jingkai Li
Ankur Moitra
OODFedML
73
16
0
05 Nov 2019
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