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2012.10278
Cited By
Adversarially Robust Estimate and Risk Analysis in Linear Regression
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
18 December 2020
Yue Xing
Ruizhi Zhang
Guang Cheng
AAML
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Papers citing
"Adversarially Robust Estimate and Risk Analysis in Linear Regression"
19 / 19 papers shown
Adversarial Robustness of Nonparametric Regression
Parsa Moradi
Hanzaleh Akabrinodehi
M. Maddah-ali
AAML
408
0
0
23 May 2025
High-dimensional (Group) Adversarial Training in Linear Regression
Yiling Xie
Xiaoming Huo
303
5
0
22 May 2024
PUMA: margin-based data pruning
Javier Maroto
Pascal Frossard
AAML
316
1
0
10 May 2024
H
H
H
-Consistency Guarantees for Regression
Anqi Mao
M. Mohri
Yutao Zhong
436
16
0
28 Mar 2024
Non-Asymptotic Bounds for Adversarial Excess Risk under Misspecified Models
Changyu Liu
Yuling Jiao
Junhui Wang
Jian Huang
AAML
235
2
0
02 Sep 2023
Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms
Elvis Dohmatob
M. Scetbon
AAML
OOD
233
1
0
01 Aug 2023
Adversarial Training with Generated Data in High-Dimensional Regression: An Asymptotic Study
Yue Xing
228
1
0
21 Jun 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications
International Conference on Machine Learning (ICML), 2023
Anqi Mao
M. Mohri
Yutao Zhong
AAML
365
764
0
14 Apr 2023
Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
M. Scetbon
Elvis Dohmatob
AAML
259
5
0
31 Jan 2023
A Theoretical Study of The Effects of Adversarial Attacks on Sparse Regression
Deepak Maurya
Jean Honorio
AAML
273
1
0
21 Dec 2022
Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and Equilibria
Journal of machine learning research (JMLR), 2022
Tengyuan Liang
509
3
0
05 Dec 2022
Stability Analysis and Generalization Bounds of Adversarial Training
Neural Information Processing Systems (NeurIPS), 2022
Jiancong Xiao
Yanbo Fan
Tian Ding
Jue Wang
Zhimin Luo
AAML
376
42
0
03 Oct 2022
Adversarially Robust PAC Learnability of Real-Valued Functions
International Conference on Machine Learning (ICML), 2022
Idan Attias
Steve Hanneke
333
8
0
26 Jun 2022
Surprises in adversarially-trained linear regression
Antônio H. Ribeiro
Dave Zachariah
Thomas B. Schon
AAML
495
3
0
25 May 2022
Unlabeled Data Help: Minimax Analysis and Adversarial Robustness
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Yue Xing
Qifan Song
Guang Cheng
200
4
0
14 Feb 2022
A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability
Neural Information Processing Systems (NeurIPS), 2022
Idan Attias
Steve Hanneke
Yishay Mansour
359
17
0
11 Feb 2022
Adversarial robustness for latent models: Revisiting the robust-standard accuracies tradeoff
Operational Research (OR), 2021
Adel Javanmard
M. Mehrabi
AAML
306
6
0
22 Oct 2021
Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training
Machine-mediated learning (ML), 2021
Mohammad Azizmalayeri
M. Rohban
OOD
265
5
0
29 Mar 2021
Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition
Yaodong Yu
Zitong Yang
Guang Cheng
Jacob Steinhardt
Yi-An Ma
367
20
0
17 Mar 2021
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