Measuring Dependence with Matrix-based Entropy Functional

25 January 2021

Papers citing "Measuring Dependence with Matrix-based Entropy Functional"

10 / 10 papers shown

Title
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space Padmaksha Roy Tyler Cody Himanshu Singhal Kevin Choi Ming Jin OOD 24 1 0 28 Dec 2023
MOLE: MOdular Learning FramEwork via Mutual Information Maximization Tianchao Li Yulong Pei 25 0 0 15 Aug 2023
Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study Luis P. Silvestrin Shujian Yu Mark Hoogendoorn OOD 31 1 0 17 Jul 2023
The Representation Jensen-Shannon Divergence J. Hoyos-Osorio Santiago Posso-Murillo L. S. Giraldo 40 6 0 25 May 2023
Measuring Statistical Dependencies via Maximum Norm and Characteristic Functions P. Daniušis Shubham Juneja Lukas Kuzma Virginijus Marcinkevičius 28 1 0 16 Aug 2022
Multi-view Information Bottleneck Without Variational Approximation Qi Zhang Shujian Yu J. Xin Badong Chen 14 10 0 22 Apr 2022
Computationally Efficient Approximations for Matrix-based Renyi's Entropy Tieliang Gong Yuxin Dong Shujian Yu B. Dong 59 2 0 27 Dec 2021
Learning Theory Approach to Minimum Error Entropy Criterion Ting Hu Jun Fan Qiang Wu Ding-Xuan Zhou 35 82 0 03 Aug 2012
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,634 0 03 Jul 2012
Measuring and testing dependence by correlation of distances G. Székely Maria L. Rizzo N. K. Bakirov 175 2,577 0 28 Mar 2008