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Two-sample Test with Kernel Projected Wasserstein Distance
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Two-sample Test with Kernel Projected Wasserstein Distance

International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Jie Wang
Rui Gao
Yao Xie
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Papers citing "Two-sample Test with Kernel Projected Wasserstein Distance"

15 / 15 papers shown
Title
Kernel Quantile Embeddings and Associated Probability Metrics
Kernel Quantile Embeddings and Associated Probability Metrics
Masha Naslidnyk
Siu Lun Chau
F. Briol
Krikamol Muandet
174
1
0
26 May 2025
Streaming Sliced Optimal Transport
Streaming Sliced Optimal Transport
Khai Nguyen
OT
236
0
0
11 May 2025
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Jialong Jiang
Wenkang Hu
Jian Huang
Yuling Jiao
Xu Liu
DiffM
172
0
0
08 May 2025
Tree-Sliced Wasserstein Distance with Nonlinear Projection
Tree-Sliced Wasserstein Distance with Nonlinear Projection
T. Tran
Viet-Hoang Tran
Thanh T. Chu
Trang Pham
Laurent El Ghaoui
Tam Le
T. Nguyen
184
5
0
02 May 2025
Gaussian Derivative Change-point Detection for Early Warnings of Industrial System Failures
Gaussian Derivative Change-point Detection for Early Warnings of Industrial System FailuresReliability Engineering & System Safety (Reliab. Eng. Syst. Saf.), 2024
Hao Zhao
Rong Pan
154
5
0
29 Oct 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
212
3
0
24 May 2024
Max-sliced Wasserstein concentration and uniform ratio bounds of empirical measures on RKHS
Max-sliced Wasserstein concentration and uniform ratio bounds of empirical measures on RKHS
Ruiyu Han
Cynthia Rush
Johannes Wiesel
153
1
0
21 May 2024
Multiple-output composite quantile regression through an optimal transport lens
Multiple-output composite quantile regression through an optimal transport lens
Xuzhi Yang
Tengyao Wang
139
1
0
14 Feb 2024
Generalized Sobolev Transport for Probability Measures on a Graph
Generalized Sobolev Transport for Probability Measures on a Graph
Tam Le
Truyen V. Nguyen
Kenji Fukumizu
OT
164
9
0
07 Feb 2024
Optimal Transport for Measures with Noisy Tree Metric
Optimal Transport for Measures with Noisy Tree Metric
Tam Le
Truyen V. Nguyen
Kenji Fukumizu
OT
245
7
0
20 Oct 2023
Sliced Wasserstein Estimation with Control Variates
Sliced Wasserstein Estimation with Control VariatesInternational Conference on Learning Representations (ICLR), 2023
Khai Nguyen
Nhat Ho
OT3DPC
163
15
0
30 Apr 2023
Scalable Unbalanced Sobolev Transport for Measures on a Graph
Scalable Unbalanced Sobolev Transport for Measures on a GraphInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Tam Le
Truyen V. Nguyen
Kenji Fukumizu
OT
175
10
0
24 Feb 2023
Variable Selection for Kernel Two-Sample Tests
Variable Selection for Kernel Two-Sample Tests
Jie Wang
Santanu S. Dey
Yao Xie
179
5
0
15 Feb 2023
A Manifold Two-Sample Test Study: Integral Probability Metric with Neural Networks
A Manifold Two-Sample Test Study: Integral Probability Metric with Neural NetworksInformation and Inference A Journal of the IMA (JIII), 2022
Jie Wang
Minshuo Chen
Tuo Zhao
Wenjing Liao
Yao Xie
118
8
0
04 May 2022
Sinkhorn Distributionally Robust Optimization
Sinkhorn Distributionally Robust OptimizationOperational Research (OR), 2021
Jie Wang
Rui Gao
Yao Xie
335
47
0
24 Sep 2021

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