Partial Distance Correlation with Methods for Dissimilarities

10 October 2013

Papers citing "Partial Distance Correlation with Methods for Dissimilarities"

50 / 65 papers shown

Title
Improved distance correlation estimation Blanca E. Monroy-Castillo M.A Jácome Ricardo Cao 25 0 0 03 May 2024
Correcting Biased Centered Kernel Alignment Measures in Biological and Artificial Neural Networks Alex Murphy J. Zylberberg Alona Fyshe 30 1 0 02 May 2024
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation Minqin Zhu Anpeng Wu Haoxuan Li Ruoxuan Xiong Bo Li ... Xuan Qin Peng Zhen Jiecheng Guo Fei Wu Kun Kuang CML 42 10 0 21 Mar 2024
A new flexible class of kernel-based tests of independence Marija Cuparić Bruno Ebner Bojana Milovsević 17 0 0 21 Jan 2024
The PetShop Dataset -- Finding Causes of Performance Issues across Microservices Michaela Hardt William Orchard Patrick Blobaum S. Kasiviswanathan Elke Kirschbaum AI4TS 17 2 0 08 Nov 2023
Learning sources of variability from high-dimensional observational studies Eric W. Bridgeford Jaewon Chung B. Gilbert Sambit Panda Adam Li Cencheng Shen A. Badea B. Caffo Joshua T. Vogelstein CML 20 3 0 26 Jul 2023
Optimizing Lead Time in Fall Detection for a Planar Bipedal Robot M. E. Mungai J. Grizzle 17 1 0 27 Mar 2023
Scalable Infomin Learning Yanzhi Chen Wei-Der Sun Yingzhen Li Adrian Weller 80 8 0 21 Feb 2023
Feature Selection with Distance Correlation Ranit Das Gregor Kasieczka David Shih 24 14 0 30 Nov 2022
Testing for context-dependent changes in neural encoding in naturalistic experiments Ye Chen Carl Harris Xiaoyu Ma Zheng Li Francisco Câmara Pereira Charles Y.Zheng 36 0 0 17 Nov 2022
A survey of some recent developments in measures of association S. Chatterjee 16 14 0 09 Nov 2022
Measuring Statistical Dependencies via Maximum Norm and Characteristic Functions P. Daniušis Shubham Juneja Lukas Kuzma Virginijus Marcinkevičius 33 1 0 16 Aug 2022
On the Versatile Uses of Partial Distance Correlation in Deep Learning Xingjian Zhen Zihang Meng Rudrasis Chakraborty Vikas Singh OODD 37 28 0 20 Jul 2022
Early Detection of Ovarian Cancer by Wavelet Analysis of Protein Mass Spectra Dixon Vimalajeewa S. Bruce B. Vidakovic 20 8 0 14 Jul 2022
A Basic Treatment of the Distance Covariance Dominic Edelmann Tobias Terzer Donald Richards 13 3 0 21 Jun 2022
Kernel Angle Dependence Measures for Complex Objects Yilin Zhang Songshan Yang 8 0 0 03 Jun 2022
Distribution-free tests of multivariate independence based on center-outward quadrant, Spearman, Kendall, and van der Waerden statistics Hongjian Shi Mathias Drton Marc Hallin Fang Han 28 6 0 30 Nov 2021
Online-compatible Unsupervised Non-resonant Anomaly Detection Vinicius Mikuni Benjamin Nachman David Shih 25 35 0 11 Nov 2021
Two Sample Testing in High Dimension via Maximum Mean Discrepancy Hanjia Gao Xiaofeng Shao 17 9 0 30 Sep 2021
A Cautionary Tale of Decorrelating Theory Uncertainties A. Ghosh Benjamin Nachman 30 17 0 16 Sep 2021
On Azadkia-Chatterjee's conditional dependence coefficient Hongjian Shi Mathias Drton Fang Han 32 30 0 15 Aug 2021
Distance covariance for random fields Muneya Matsui T. Mikosch R. Roozegar L. Tafakori 18 0 0 07 Jul 2021
A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations Alex Markham Richeek Das Moritz Grosse-Wentrup 26 9 0 07 Jun 2021
The FEDHC Bayesian network learning algorithm M. Tsagris 19 3 0 30 Nov 2020
An AUK-based index for measuring and testing the joint dependence of a random vector G. Afendras M. Markatou A. Vexler 14 0 0 24 Nov 2020
Semiparametric regression of mean residual life with censoring and covariate dimension reduction Ge Zhao Yanyuan Ma Huazhen Lin Yi Li 6 0 0 08 Nov 2020
Neural Approximate Sufficient Statistics for Implicit Models Yanzhi Chen Dinghuai Zhang Michael U. Gutmann Aaron Courville Zhanxing Zhu 30 79 0 20 Oct 2020
Distance Correlation Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies Li Xiao Cai Biao Gang Qu Julia M. Stephen T. Wilson Vince D. Calhoun Yu-Ping Wang 8 8 0 30 Sep 2020
The Earth Mover's Correlation Tamás F. Móri G. Székely 6 5 0 09 Sep 2020
Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning Kshitij Dwivedi Jiahui Huang Radoslaw Martin Cichy Gemma Roig 19 30 0 05 Aug 2020
Notes on the interpretation of dependence measures Bjorn Bottcher 15 0 0 16 Apr 2020
Bias-adjusted spectral clustering in multi-layer stochastic block models Jing Lei K. Lin 35 47 0 18 Mar 2020
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions Benjamin Regler Matthias Scheffler L. Ghiringhelli 11 2 0 30 Jan 2020
High-Dimensional Independence Testing via Maximum and Average Distance Correlations Cencheng Shen Yuexiao Dong 29 8 0 04 Jan 2020
The Chi-Square Test of Distance Correlation Cencheng Shen Sambit Panda Joshua T. Vogelstein 27 57 0 27 Dec 2019
A simple measure of conditional dependence Mona Azadkia S. Chatterjee 16 125 0 27 Oct 2019
On expectile-assisted inverse regression estimation for sufficient dimension reduction Abdul-Nasah Soale Yuexiao Dong 29 2 0 24 Oct 2019
A New Framework for Distance and Kernel-based Metrics in High Dimensions Shubhadeep Chakraborty Xianyang Zhang 19 31 0 30 Sep 2019
Model-free Feature Screening and FDR Control with Knockoff Features Wanjun Liu Y. Ke Jingyuan Liu Runze Li 24 56 0 19 Aug 2019
Independence Testing for Temporal Data Cencheng Shen Jaewon Chung Ronak R. Mehta Ting Xu Joshua T. Vogelstein 32 5 0 18 Aug 2019
Improved Forecasting of Cryptocurrency Price using Social Signals M. Glenski Tim Weninger Svitlana Volkova 13 9 0 01 Jul 2019
Estimating Feature-Label Dependence Using Gini Distance Statistics Silu Zhang Xin Dang D. Nguyen D. Wilkins Yixin Chen 11 13 0 05 Jun 2019
Distance-based and RKHS-based Dependence Metrics in High Dimension Changbo Zhu Shu Yao Xianyang Zhang Xiaofeng Shao 17 40 0 08 Feb 2019
Learning Interpretable Characteristic Kernels via Decision Forests Sambit Panda Cencheng Shen Joshua T. Vogelstein 18 5 0 30 Nov 2018
Adaptive Geo-Topological Independence Criterion Baihan Lin N. Kriegeskorte 17 1 0 06 Oct 2018
Statistical dependence: Beyond Pearson's $ρ$ D. Tjøstheim Haakon Otneim Baard Stove 20 39 0 27 Sep 2018
The conditional permutation test for independence while controlling for confounders Thomas B. Berrett Yi Wang Rina Foygel Barber R. Samworth 35 16 0 14 Jul 2018
Distance covariance for discretized stochastic processes H. Dehling Muneya Matsui T. Mikosch G. Samorodnitsky L. Tafakori 25 14 0 25 Jun 2018
The Exact Equivalence of Distance and Kernel Methods for Hypothesis Testing Cencheng Shen Joshua T. Vogelstein 16 43 0 14 Jun 2018
Distributed Statistical Inference for Massive Data Songxi Chen Liuhua Peng 11 27 0 29 May 2018