Robust Hypothesis Testing Using Wasserstein Uncertainty Sets

27 May 2018

Yao Xie

Papers citing "Robust Hypothesis Testing Using Wasserstein Uncertainty Sets"

42 / 42 papers shown

Title
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 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 OffRL AI4CE 189 3 0 08 Feb 2025
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 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 Michele Caprio David Stutz Shuo Li Arnaud Doucet UQCV 215 5 0 07 Nov 2024
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 Antonin Schrab Ilmun Kim 105 4 0 30 May 2024
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 Jie Wang Rui Gao Yao Xie 101 1 0 21 Mar 2024
Credal Learning Theory Michele Caprio Maryam Sultana Eleni Elia Fabio Cuzzolin FedML 116 15 0 01 Feb 2024
Outlier-Robust Wasserstein DRO Sloan Nietert Ziv Goldfeld Soroosh Shafiee 81 11 0 09 Nov 2023
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 Liyan Xie Yuchen Liang Venugopal V. Veeravalli 56 2 0 28 Sep 2023
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 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 Shengbo Wang Nian Si Jose H. Blanchet Zhengyuan Zhou OOD OffRL 93 28 0 26 Feb 2023
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 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 Liyan Xie 44 4 0 27 Apr 2022
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 Jie Wang Yao Xie 90 16 0 09 Feb 2022
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 Junchang Wang Yang Li Liyan Xie Yao Xie OOD 53 10 0 08 Sep 2021
Distributionally Robust Learning Ruidi Chen I. Paschalidis OOD 93 69 0 20 Aug 2021
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 Feng Liu Wenkai Xu Jie Lu Danica J. Sutherland 84 24 0 14 Jun 2021
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 Liyan Xie Rui Gao Yao Xie OOD 79 9 0 29 May 2021
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 A. Suresh OOD 37 6 0 03 Nov 2020
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 Lunjia Hu Omer Reingold OOD 115 5 0 18 Aug 2020
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 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 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 Daniel Kuhn Peyman Mohajerin Esfahani Viet Anh Nguyen Soroosh Shafieezadeh-Abadeh OOD 66 397 0 23 Aug 2019
Distributionally Robust Optimization: A Review Hamed Rahimian Sanjay Mehrotra 77 134 0 13 Aug 2019
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 Dongdong Ge Haoyue Wang Zikai Xiong Yinyu Ye 72 28 0 30 May 2019
Tree-Sliced Variants of Wasserstein Distances Tam Le M. Yamada Kenji Fukumizu Marco Cuturi OT 93 84 0 01 Feb 2019
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 336 2,172 0 01 Mar 2018