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Generalized Resilience and Robust Statistics

Generalized Resilience and Robust Statistics

19 September 2019
Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
ArXivPDFHTML

Papers citing "Generalized Resilience and Robust Statistics"

15 / 15 papers shown
Title
Wasserstein Distributionally Robust Nonparametric Regression
Wasserstein Distributionally Robust Nonparametric Regression
Changyu Liu
Yuling Jiao
Junhui Wang
Jian Huang
OOD
29
0
0
12 May 2025
High Dimensional Distributed Gradient Descent with Arbitrary Number of
  Byzantine Attackers
High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers
Puning Zhao
Zhiguo Wan
OOD
FedML
36
4
0
25 Jul 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust
  Optimization
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization
Ramnath Kumar
Kushal Majmundar
Dheeraj M. Nagaraj
A. Suggala
ODL
24
6
0
15 Jun 2023
Near Optimal Private and Robust Linear Regression
Near Optimal Private and Robust Linear Regression
Xiyang Liu
Prateek Jain
Weihao Kong
Sewoong Oh
A. Suggala
35
9
0
30 Jan 2023
Statistical, Robustness, and Computational Guarantees for Sliced
  Wasserstein Distances
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances
Sloan Nietert
Ritwik Sadhu
Ziv Goldfeld
Kengo Kato
30
37
0
17 Oct 2022
Holistic Robust Data-Driven Decisions
Holistic Robust Data-Driven Decisions
Amine Bennouna
Bart P. G. Van Parys
Ryan Lucas
OOD
31
21
0
19 Jul 2022
Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized
  Linear Models
Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models
Pranjal Awasthi
Abhimanyu Das
Weihao Kong
Rajat Sen
23
5
0
09 Jun 2022
Byzantine-Robust Federated Learning with Optimal Statistical Rates and
  Privacy Guarantees
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees
Banghua Zhu
Lun Wang
Qi Pang
Shuai Wang
Jiantao Jiao
D. Song
Michael I. Jordan
FedML
93
30
0
24 May 2022
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
13
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
24
8
0
09 Nov 2021
Outlier-Robust Optimal Transport: Duality, Structure, and Statistical
  Analysis
Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis
Sloan Nietert
Rachel Cummings
Ziv Goldfeld
OT
10
26
0
02 Nov 2021
Influence Based Defense Against Data Poisoning Attacks in Online
  Learning
Influence Based Defense Against Data Poisoning Attacks in Online Learning
Sanjay Seetharaman
Shubham Malaviya
KV Rosni
Manish Shukla
S. Lodha
TDI
AAML
31
9
0
24 Apr 2021
Outlier Robust Mean Estimation with Subgaussian Rates via Stability
Outlier Robust Mean Estimation with Subgaussian Rates via Stability
Ilias Diakonikolas
D. Kane
Ankit Pensia
14
57
0
30 Jul 2020
Robust estimation via generalized quasi-gradients
Robust estimation via generalized quasi-gradients
Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
18
43
0
28 May 2020
On Robust Mean Estimation under Coordinate-level Corruption
On Robust Mean Estimation under Coordinate-level Corruption
Zifan Liu
Jongho Park
Theodoros Rekatsinas
Christos Tzamos
25
8
0
10 Feb 2020
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