Distance-based and RKHS-based Dependence Metrics in High Dimension

Distance-based and RKHS-based Dependence Metrics in High Dimension

8 February 2019

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Papers citing "Distance-based and RKHS-based Dependence Metrics in High Dimension"

14 / 14 papers shown

Title
Metric Graph Kernels via the Tropical Torelli Map Yueqi Cao Anthea Monod 42 0 0 17 May 2025
Statistical inferences for complex dependence of multimodal imaging data Jinyuan Chang Jing He Jian Kang Mingcong Wu 68 5 0 07 Mar 2023
Change point detection in high dimensional data with U-statistics Cooper Boniece L. Horváth Peter Jacobs 53 1 0 18 Jul 2022
Kernel Angle Dependence Measures for Complex Objects Yilin Zhang Songshan Yang 65 0 0 03 Jun 2022
Asymptotic Normality of Gini Correlation in High Dimension with Applications to the K-sample Problem Yongli Sang Xin Dang 11 3 0 28 Feb 2022
Kernel Two-Sample Tests in High Dimension: Interplay Between Moment Discrepancy and Dimension-and-Sample Orders J. Yan Xianyang Zhang 95 18 0 31 Dec 2021
Two Sample Testing in High Dimension via Maximum Mean Discrepancy Hanjia Gao Xiaofeng Shao 72 10 0 30 Sep 2021
Distance covariance for random fields Muneya Matsui T. Mikosch R. Roozegar L. Tafakori 41 0 0 07 Jul 2021
Eigenvalue distribution of a high-dimensional distance covariance matrix with application Weiming Li Qinwen Wang Jianfeng Yao 22 0 0 17 May 2021
A Kernel Two-Sample Test for Functional Data George Wynne Andrew B. Duncan 97 45 0 25 Aug 2020
High-Dimensional Independence Testing via Maximum and Average Distance Correlations Cencheng Shen Yuexiao Dong 104 8 0 04 Jan 2020
A New Framework for Distance and Kernel-based Metrics in High Dimensions Shubhadeep Chakraborty Xianyang Zhang 54 32 0 30 Sep 2019
Independence Testing for Temporal Data Cencheng Shen Jaewon Chung Ronak R. Mehta Ting Xu Joshua T. Vogelstein 96 4 0 18 Aug 2019
Learning Interpretable Characteristic Kernels via Decision Forests Sambit Panda Cencheng Shen Joshua T. Vogelstein 72 6 0 30 Nov 2018