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Robust Hypothesis Testing Using Wasserstein Uncertainty Sets

Robust Hypothesis Testing Using Wasserstein Uncertainty Sets

27 May 2018
Rui Gao
Liyan Xie
Yao Xie
Huan Xu
    OOD
ArXiv (abs)PDFHTML

Papers citing "Robust Hypothesis Testing Using Wasserstein Uncertainty Sets"

42 / 42 papers shown
Title
Hypothesis Testing in Imaging Inverse Problems
Hypothesis Testing in Imaging Inverse Problems
Yiming Xi
K. Zygalakis
Marcelo Pereyra
63
0
0
28 May 2025
Conformal Prediction Regions are Imprecise Highest Density Regions
Conformal Prediction Regions are Imprecise Highest Density Regions
Michele Caprio
Yusuf Sale
Eyke Hüllermeier
204
1
0
10 Feb 2025
Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making
Prince Zizhuang Wang
Jinhao Liang
Shuyi Chen
Ferdinando Fioretto
Shixiang Zhu
OffRLAI4CE
189
3
0
08 Feb 2025
On the Adversarial Robustness of Benjamini Hochberg
On the Adversarial Robustness of Benjamini Hochberg
Louis L Chen
Roberto Szechtman
Matan Seri
AAML
75
0
0
08 Jan 2025
A Unified Data Representation Learning for Non-parametric Two-sample Testing
A Unified Data Representation Learning for Non-parametric Two-sample Testing
Xunye Tian
Liuhua Peng
Zhijian Zhou
Mingming Gong
Feng Liu
Feng Liu
119
0
0
30 Nov 2024
Conformalized Credal Regions for Classification with Ambiguous Ground Truth
Conformalized Credal Regions for Classification with Ambiguous Ground Truth
Michele Caprio
David Stutz
Shuo Li
Arnaud Doucet
UQCV
215
5
0
07 Nov 2024
On the Robustness of Kernel Goodness-of-Fit Tests
On the Robustness of Kernel Goodness-of-Fit Tests
Xing Liu
F. Briol
OOD
108
5
0
11 Aug 2024
Robust Kernel Hypothesis Testing under Data Corruption
Robust Kernel Hypothesis Testing under Data Corruption
Antonin Schrab
Ilmun Kim
105
4
0
30 May 2024
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances
Jie Wang
M. Boedihardjo
Yao Xie
127
1
0
24 May 2024
Non-Convex Robust Hypothesis Testing using Sinkhorn Uncertainty Sets
Non-Convex Robust Hypothesis Testing using Sinkhorn Uncertainty Sets
Jie Wang
Rui Gao
Yao Xie
101
1
0
21 Mar 2024
Credal Learning Theory
Credal Learning Theory
Michele Caprio
Maryam Sultana
Eleni Elia
Fabio Cuzzolin
FedML
116
15
0
01 Feb 2024
Outlier-Robust Wasserstein DRO
Outlier-Robust Wasserstein DRO
Sloan Nietert
Ziv Goldfeld
Soroosh Shafiee
81
11
0
09 Nov 2023
Flow-based Distributionally Robust Optimization
Flow-based Distributionally Robust Optimization
Chen Xu
Jonghyeok Lee
Xiuyuan Cheng
Yao Xie
OOD
124
5
0
30 Oct 2023
Distributionally Robust Quickest Change Detection using Wasserstein
  Uncertainty Sets
Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets
Liyan Xie
Yuchen Liang
Venugopal V. Veeravalli
56
2
0
28 Sep 2023
Uncertainty-Aware Robust Learning on Noisy Graphs
Uncertainty-Aware Robust Learning on Noisy Graphs
Shuyi Chen
Kaize Ding
Shixiang Zhu
102
5
0
14 Jun 2023
Nash Equilibria, Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization
Nash Equilibria, Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization
Soroosh Shafieezadeh-Abadeh
Liviu Aolaritei
Florian Dorfler
Daniel Kuhn
152
21
0
07 Mar 2023
A Finite Sample Complexity Bound for Distributionally Robust Q-learning
A Finite Sample Complexity Bound for Distributionally Robust Q-learning
Shengbo Wang
Nian Si
Jose H. Blanchet
Zhengyuan Zhou
OODOffRL
93
28
0
26 Feb 2023
Robust Multi-Hypothesis Testing with Moment Constrained Uncertainty Sets
Robust Multi-Hypothesis Testing with Moment Constrained Uncertainty Sets
A. Magesh
Zhongchang Sun
Venugopal V. Veeravalli
Shaofeng Zou
46
1
0
23 Oct 2022
Generalizing to Unseen Domains with Wasserstein Distributional
  Robustness under Limited Source Knowledge
Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge
Junchang Wang
Liyan Xie
Yao Xie
Shao-Lun Huang
Yang Li
OOD
44
0
0
11 Jul 2022
Minimax Robust Quickest Change Detection using Wasserstein Ambiguity
  Sets
Minimax Robust Quickest Change Detection using Wasserstein Ambiguity Sets
Liyan Xie
44
4
0
27 Apr 2022
Kernel Robust Hypothesis Testing
Kernel Robust Hypothesis Testing
Zhongchang Sun
Shaofeng Zou
OOD
77
13
0
23 Mar 2022
A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn
  Uncertainty Sets
A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets
Jie Wang
Yao Xie
90
16
0
09 Feb 2022
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
Xilie Xu
Jingfeng Zhang
Feng Liu
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
62
2
0
07 Feb 2022
Class-conditioned Domain Generalization via Wasserstein Distributional
  Robust Optimization
Class-conditioned Domain Generalization via Wasserstein Distributional Robust Optimization
Junchang Wang
Yang Li
Liyan Xie
Yao Xie
OOD
53
10
0
08 Sep 2021
Distributionally Robust Learning
Distributionally Robust Learning
Ruidi Chen
I. Paschalidis
OOD
93
69
0
20 Aug 2021
Statistical Analysis of Wasserstein Distributionally Robust Estimators
Statistical Analysis of Wasserstein Distributionally Robust Estimators
Jose H. Blanchet
Karthyek Murthy
Viet Anh Nguyen
67
48
0
04 Aug 2021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Feng Liu
Wenkai Xu
Jie Lu
Danica J. Sutherland
84
24
0
14 Jun 2021
Sequential Domain Adaptation by Synthesizing Distributionally Robust
  Experts
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts
Bahar Taşkesen
Man-Chung Yue
Jose H. Blanchet
Daniel Kuhn
Viet Anh Nguyen
91
21
0
01 Jun 2021
Robust Hypothesis Testing with Wasserstein Uncertainty Sets
Robust Hypothesis Testing with Wasserstein Uncertainty Sets
Liyan Xie
Rui Gao
Yao Xie
OOD
79
9
0
29 May 2021
Robust Graph Learning Under Wasserstein Uncertainty
Robust Graph Learning Under Wasserstein Uncertainty
Xiang Zhang
Yinfei Xu
Qinghe Liu
Zhicheng Liu
Jian Lu
Qiao Wang
OOD
80
4
0
10 May 2021
Robust hypothesis testing and distribution estimation in Hellinger
  distance
Robust hypothesis testing and distribution estimation in Hellinger distance
A. Suresh
OOD
37
6
0
03 Nov 2020
Finite-Sample Guarantees for Wasserstein Distributionally Robust
  Optimization: Breaking the Curse of Dimensionality
Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality
Rui Gao
84
94
0
09 Sep 2020
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers
Lunjia Hu
Omer Reingold
OOD
115
5
0
18 Aug 2020
Distributionally Robust Batch Contextual Bandits
Distributionally Robust Batch Contextual Bandits
Nian Si
Fan Zhang
Zhengyuan Zhou
Jose H. Blanchet
OffRL
89
26
0
10 Jun 2020
Distributionally Robust Weighted $k$-Nearest Neighbors
Distributionally Robust Weighted kkk-Nearest Neighbors
Shixiang Zhu
Liyan Xie
Minghe Zhang
Rui Gao
Yao Xie
OOD
95
7
0
07 Jun 2020
Learning Deep Kernels for Non-Parametric Two-Sample Tests
Learning Deep Kernels for Non-Parametric Two-Sample Tests
Feng Liu
Wenkai Xu
Jie Lu
Guangquan Zhang
Arthur Gretton
Danica J. Sutherland
92
189
0
21 Feb 2020
Wasserstein Distributionally Robust Optimization: Theory and
  Applications in Machine Learning
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
Daniel Kuhn
Peyman Mohajerin Esfahani
Viet Anh Nguyen
Soroosh Shafieezadeh-Abadeh
OOD
66
397
0
23 Aug 2019
Distributionally Robust Optimization: A Review
Distributionally Robust Optimization: A Review
Hamed Rahimian
Sanjay Mehrotra
77
134
0
13 Aug 2019
Confidence Regions in Wasserstein Distributionally Robust Estimation
Confidence Regions in Wasserstein Distributionally Robust Estimation
Jose H. Blanchet
Karthyek Murthy
Nian Si
OOD
85
57
0
04 Jun 2019
Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter
  Problem
Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem
Dongdong Ge
Haoyue Wang
Zikai Xiong
Yinyu Ye
72
28
0
30 May 2019
Tree-Sliced Variants of Wasserstein Distances
Tree-Sliced Variants of Wasserstein Distances
Tam Le
M. Yamada
Kenji Fukumizu
Marco Cuturi
OT
93
84
0
01 Feb 2019
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
336
2,172
0
01 Mar 2018
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