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2002.11099
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A General Method for Robust Learning from Batches
Neural Information Processing Systems (NeurIPS), 2020
25 February 2020
Ayush Jain
A. Orlitsky
OOD
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Papers citing
"A General Method for Robust Learning from Batches"
12 / 12 papers shown
Linear Regression using Heterogeneous Data Batches
Neural Information Processing Systems (NeurIPS), 2023
Ayush Jain
Rajat Sen
Weihao Kong
Abhimanyu Das
A. Orlitsky
197
3
0
05 Sep 2023
Efficient List-Decodable Regression using Batches
International Conference on Machine Learning (ICML), 2022
Abhimanyu Das
Ayush Jain
Weihao Kong
Rajat Sen
197
5
0
23 Nov 2022
An Equivalence Between Data Poisoning and Byzantine Gradient Attacks
International Conference on Machine Learning (ICML), 2022
Sadegh Farhadkhani
R. Guerraoui
L. Hoang
Oscar Villemaud
FedML
273
30
0
17 Feb 2022
Robust estimation algorithms don't need to know the corruption level
Ayush Jain
A. Orlitsky
V. Ravindrakumar
182
8
0
11 Feb 2022
Robust Estimation for Random Graphs
Annual Conference Computational Learning Theory (COLT), 2021
Jayadev Acharya
Ayush Jain
Gautam Kamath
A. Suresh
Huanyu Zhang
377
9
0
09 Nov 2021
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
480
5
0
11 Jul 2021
FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data
Eugenia Iofinova
Nikola Konstantinov
Christoph H. Lampert
FaML
407
0
0
22 Jun 2021
Robust Testing and Estimation under Manipulation Attacks
International Conference on Machine Learning (ICML), 2021
Jayadev Acharya
Ziteng Sun
Huanyu Zhang
AAML
234
13
0
21 Apr 2021
Learning Structured Distributions From Untrusted Batches: Faster and Simpler
Neural Information Processing Systems (NeurIPS), 2020
Sitan Chen
Jungshian Li
Ankur Moitra
299
19
0
24 Feb 2020
On the Sample Complexity of Adversarial Multi-Source PAC Learning
International Conference on Machine Learning (ICML), 2020
Nikola Konstantinov
Elias Frantar
Dan Alistarh
Christoph H. Lampert
315
18
0
24 Feb 2020
Optimal Robust Learning of Discrete Distributions from Batches
International Conference on Machine Learning (ICML), 2019
Ayush Jain
A. Orlitsky
312
16
0
19 Nov 2019
Efficiently Learning Structured Distributions from Untrusted Batches
Symposium on the Theory of Computing (STOC), 2019
Sitan Chen
Haibin Zhang
Ankur Moitra
OOD
FedML
308
16
0
05 Nov 2019
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